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LEGO: Merge pull request 685 

LEGO: Merge pull request 685
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@ -85,8 +85,8 @@
<Item ItemId=";CausalAnalysis.AggregateView.lasso" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning]]></Val>
<Tgt Cat="Text" Stat="Update" Orig="New">
<Val><![CDATA[Un lasso a été ajusté pour prédire y à partir de X[-i]5D;, et un lasso a été ajusté pour prédire X[i]5D; à partir de X[-i]5D;. L’effet causal peut être considéré comme la corrélation des variations résiduelles/inexpliquées des deux tâches de prédiction. En savoir plus sur le double Machine Learning ici]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Un lasso a été ajusté pour prédire y à partir de X[-i]5D;, et un lasso a été ajusté pour prédire X[i]5D; à partir de X[-i]5D;. L’effet causal peut être considéré comme la corrélation des variations résiduelles/inexpliquées des deux tâches de prédiction. En savoir plus sur le double Machine Learning]]></Val>
</Tgt>
<Prev Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning here]]></Val>
@ -250,30 +250,45 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This graph shows the average gains of various treatment policies over the baseline of always treating {0} with {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ce graphique montre les gains moyens des différentes stratégies de traitement par rapport à la ligne de base du traitement toujours {0} avec {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarText" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The first bar indicates average gains if the recommended global treatment policy described above was taken.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[La première barre indique les gains moyens si la stratégie de traitement globale recommandée décrite ci-dessus a été prise.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Description" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[These tools help build policies for future interventions. You can identify what parts of your sample experience the largest responses to a causal driver (i.e. treatment) or construct rules to define which future populations will have the largest treatment effects.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ces outils permettent de créer des stratégies pour les futures intervention. Vous pouvez identifier les parties de votre exemple qui rencontrent les réponses les plus importantes à un pilote causatif (c’est-à-dire le traitement) ou construire des règles pour définir les futures populations qui auront les effets de traitement les plus importants.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Left" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[{0} <= {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} <= {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Recommended" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Traitement recommandé = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -281,7 +296,7 @@
<Str Cat="Text">
<Val><![CDATA[{0} > {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} &gt; {1}]]></Val>
<Val><![CDATA[{0} > {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
@ -289,42 +304,63 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.SelectPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Set treatment feature]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Définir la fonctionnalité de traitement]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Size" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Interpretable recommended global treatment policy for sample size (n) = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Stratégie de traitement globale recommandée interprétable pour la taille de l’échantillon (n) = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Table" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The table can be read by taking a row and then taking a column of that specific row.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[La table peut être lue en prenant une ligne, puis en prenant une colonne de cette ligne spécifique.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.TableDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This table shows an interpretable recommended global treatment policy on your sample size. The table provides general segmentation rules and recommended treatments for the treatment feature you’ve selected.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ce tableau présente une stratégie de traitement globale recommandée interprétable sur la taille de votre échantillon. Le tableau fournit des règles de segmentation générales et des traitements recommandés pour la fonctionnalité de traitement que vous avez sélectionnée.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.alwaysTreat" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Always treat '{0}']]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Toujours traiter «{0}»]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.averageGain" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Average gains of alternative policies over no {0} treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gains moyens des stratégies alternatives sans traitement {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.nSample" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[n = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[n = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -358,6 +394,9 @@
<Item ItemId=";Counterfactuals.EffectLowerBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI lower]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI lower]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -373,72 +412,108 @@
<Item ItemId=";Counterfactuals.EffectUpperBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI upper]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI upper]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.RecommendedTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Traitement recommandé]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.counterfactualName" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactual name]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Nom de la contrefacteur de scénario]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.createCounterfactual" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create what-if counterfactual]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Créer des scénarios contrefactifs]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.currentClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Current class]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Classe actuelle]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.decreaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Decrease value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Réduire la valeur de 1]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.desiredClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Desired class for counterfactual(s)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Classe souhaitée pour counterfactual(s)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.header" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-If analysis]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Analyse des scénarios]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.increaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Increase value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Augmenter la valeur de 1]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.individualTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended individual treatment policy]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Stratégie de traitement individuelle recommandée]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listChoose" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Use the spinner control to choose the top k samples you’d like to view.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Utilisez le contrôle spinner pour choisir les k premiers exemples que vous souhaitez afficher.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This list shows the top k samples in your dataset sorted by causal effect of a recommended treatment, along with its lower and upper confidence intervals (CI). This sorted list essentially shows you who are the top individuals in your sample to target with a recommended treatment which will have the greatest effect on the outcome.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Cette liste présente les meilleurs exemples k de votre jeu de données triés par effet causa d’un traitement recommandé, ainsi que ses intervalles de confiance inférieurs et supérieurs. Cette liste triée vous montre essentiellement qui sont les principales personnes de votre exemple à cibler avec un traitement recommandé qui aura le plus d’impact sur le résultat.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -454,60 +529,90 @@
<Item ItemId=";Counterfactuals.panelDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Browse counterfactuals and create your own. Search features to see suggested values from a diverse set of counterfactual examples. Set a suggested counterfactual feature values by clicking 'set values' text under each counterfactual name. Name your counterfactual and save it.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Parcourez les contrefacteurs et créez les vôtres. Recherchez des fonctionnalités pour voir les valeurs suggérées à partir d’un ensemble varié d’exemples counterfactual. Définissez des valeurs de fonctionnalités contrefactuelles suggérées en cliquant sur le texte « définir des valeurs » sous chaque nom de contrefacteur. Nommez votre compteur et enregistrez-le.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.panelHeader" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactuals]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Contrefactuels de scénarios]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.recommendedPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended policy gain]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gain de stratégie recommandé]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveAsNew" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Save as new datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Enregistrer en tant que nouveau point de données]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Without strict mathematical robustness of causal inference, we do not advise users to make real-life decisions based on this tool. Use our toolkit for causal analysis for real-life intervention.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Sans robustesse mathématique stricte de l’inférence causa, nous déconseillons aux utilisateurs de prendre des décisions réelles basées sur cet outil. Utilisez notre boîte à outils pour l’analyse causa pour une intervention réelle.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.seePrediction" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[See prediction deltas]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Voir les deltas de prédiction]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.selectedDatapoint" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Selected datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Point de données sélectionné]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showOnly" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show only]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Afficher seulement]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showTop" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show top datapoint samples ordered by causal effects for recommended treatment feature: {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Afficher les principaux échantillons de point de données classés par effets causaux pour la fonctionnalité de traitement recommandée : {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.whatifDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if allows you to perturb features for any input and observe how the model's prediction changes. You can perturb features manually or simply specify the desired prediction(e.g., class label for a classifier) to see a list of closest data points to the original input that would lead to the desired prediction. Also known as prediction counterfactuals, you can use them for exploring the relationships learnt by the model; understanding important, necessary features for the model's predictions; or debug edge-cases for the model. To start, choose input points from the data tablr or scatter plot.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[What-if vous permet de perturber des fonctionnalités pour n’importe quelle entrée et d’observer comment la prédiction du modèle change. Vous pouvez perturber des fonctionnalités manuellement ou simplement spécifier la prédiction souhaitée (par exemple, l’étiquette de classe d’un classifieur) pour afficher la liste des points de données les plus proches de l’entrée d’origine qui mèneraient à la prédiction souhaitée. Également appelés contrefacteurs de prédiction, vous pouvez les utiliser pour explorer les relations établies par le modèle ; comprendre les fonctionnalités importantes et nécessaires pour les prédictions du modèle ; ou déboguer des cas de périphérie pour le modèle. Pour commencer, choisissez des points d’entrée dans le tableau de données ou le nuage de points.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -532,6 +637,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.baseCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in base cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Instances dans la cohorte de base]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -583,6 +691,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.predictionPath" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Prediction path (filters)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Chemin de prédiction (filtres)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -598,6 +709,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.selectedCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in the selected cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Instances dans la cohorte sélectionnée]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -658,24 +772,36 @@
<Item ItemId=";ErrorAnalysis.FilterTooltip.correctNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Correct (#):]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.countNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Count (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Count (#):]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.errorSum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Error sum: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Somme des erreurs : ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.incorrectNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Incorrect (#):]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -979,42 +1105,63 @@
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean absolute error is the average of the sum of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[L’erreur absolue moyenne est la moyenne de la somme des erreurs.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean abs. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Abs moyen. erreur]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean absolute error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Informations supplémentaires sur l’erreur absolue moyenne]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredError" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Erreur carrée moyenne]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean squared error is the average of the squares of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[L’erreur quadratique moyenne est la moyenne des carrés des erreurs.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean sq. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Erreur sq. moyenne]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Informations supplémentaires sur l’erreur quadratique moyenne]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6322,12 +6469,18 @@
<Item ItemId=";ModelAssessment.CohortInformation.ChangeGlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Change global cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Changer la cohorte mondiale]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.CreateNewCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create new cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Créer une cohorte]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6352,18 +6505,27 @@
<Item ItemId=";ModelAssessment.CohortInformation.Filters" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Number of filters]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Nombre de filtres]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.GlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohort: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Cohorte globale : ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortSettings.CohortSettingsDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohorts are subsets of data created by manually adding filters or saving a selected group in the error analysis component. View, create, edit, duplicate, and delete cohorts.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Les cohortes globales sont des sous-ensembles de données créés en ajoutant manuellement des filtres ou en enregistrant un groupe sélectionné dans le composant d’analyse des erreurs. Affichez, créez, modifiez, dupliquez et supprimez des cohortes.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6424,6 +6586,9 @@
<Item ItemId=";ModelAssessment.ComponentNames.FeatureImportances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Feature importances]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Importances des fonctionnalités]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6494,7 +6659,7 @@
<Str Cat="Text">
<Val><![CDATA[Delete {0}?]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Supprimer {0} ?]]></Val>
<Val><![CDATA[Supprimer {0}?]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
@ -6583,6 +6748,9 @@
<Item ItemId=";ModelAssessment.MainMenu.createCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Créer une cohorte]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>

175
Localise/loc/it/libs/localization/src/lib/en.json.lcl
Просмотреть файл

@ -85,8 +85,8 @@
<Item ItemId=";CausalAnalysis.AggregateView.lasso" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning]]></Val>
<Tgt Cat="Text" Stat="Update" Orig="New">
<Val><![CDATA[Un lazo era adatto per prevedere Y rispetto a X[-i]5D; e un lazo era adatto per prevedere X[i]5D; da X[-i]5D;. L'effetto causale può essere visualizzato come la correlazione delle variazioni residuali o indefinite delle due attività di previsione. Altre informazioni sul Machine Learning doppio sono disponibili qui]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Un lazo era adatto per prevedere Y rispetto a X[-i]5D; e un lazo era adatto per prevedere X[i]5D; da X[-i]5D;. L'effetto causale può essere visualizzato come la correlazione delle variazioni residuali o indefinite delle due attività di previsione. Altre informazioni sul Machine Learning doppio sono disponibili]]></Val>
</Tgt>
<Prev Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning here]]></Val>
@ -250,30 +250,45 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This graph shows the average gains of various treatment policies over the baseline of always treating {0} with {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Questo grafico mostra i miglioramenti medi dei vari criteri di trattamento rispetto alla previsione di trattare sempre {0} con {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarText" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The first bar indicates average gains if the recommended global treatment policy described above was taken.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[La prima barra indica i profitti medi se sono stati rilevati i criteri di trattamento globale consigliati sopra riportati.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Description" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[These tools help build policies for future interventions. You can identify what parts of your sample experience the largest responses to a causal driver (i.e. treatment) or construct rules to define which future populations will have the largest treatment effects.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Questi strumenti consentono di creare criteri per gli interventi futuri. È possibile identificare le parti dell'esperienza di esempio relative alle più grandi risposte a un driver causale (ad esempio il trattamento) o a regole per definire quali popolazioni future avranno i più grandi effetti di trattamento.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Left" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[{0} <= {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} <= {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Recommended" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Trattamento consigliato = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -289,42 +304,63 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.SelectPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Set treatment feature]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Impostare la funzionalità di trattamento]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Size" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Interpretable recommended global treatment policy for sample size (n) = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Criterio di trattamento globale consigliato da interpretare per le dimensioni del campione (n) = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Table" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The table can be read by taking a row and then taking a column of that specific row.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[È possibile leggere la tabella prendendo una riga e quindi prendendo una colonna di quella specifica riga.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.TableDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This table shows an interpretable recommended global treatment policy on your sample size. The table provides general segmentation rules and recommended treatments for the treatment feature you’ve selected.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Questa tabella mostra un criterio di trattamento globale consigliato d interpretabile per le dimensioni del campione. La tabella fornisce le regole generali di segmentazione e i trattamenti consigliati per la funzionalità di trattamento selezionata.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.alwaysTreat" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Always treat '{0}']]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gestisci sempre '{0}']]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.averageGain" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Average gains of alternative policies over no {0} treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Guadagni medi di criteri alternativi rispetto al trattamento {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.nSample" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[n = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[n = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -358,6 +394,9 @@
<Item ItemId=";Counterfactuals.EffectLowerBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI lower]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI lower]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -373,72 +412,108 @@
<Item ItemId=";Counterfactuals.EffectUpperBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI upper]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI upper]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.RecommendedTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Trattamento consigliato]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.counterfactualName" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactual name]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Nome controfattuale di simulazione]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.createCounterfactual" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create what-if counterfactual]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Creare controfattuale di simulazione]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.currentClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Current class]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Classe corrente]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.decreaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Decrease value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Riduci valore di 1]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.desiredClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Desired class for counterfactual(s)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Classe desiderata per controfattuali]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.header" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-If analysis]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Analisi di simulazione]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.increaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Increase value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aumenta valore di 1]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.individualTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended individual treatment policy]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Criteri di trattamento individuali consigliati]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listChoose" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Use the spinner control to choose the top k samples you’d like to view.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Utilizzare il controllo Spinner per scegliere i campioni k più frequenti che si desidera visualizzare.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This list shows the top k samples in your dataset sorted by causal effect of a recommended treatment, along with its lower and upper confidence intervals (CI). This sorted list essentially shows you who are the top individuals in your sample to target with a recommended treatment which will have the greatest effect on the outcome.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Questo elenco mostra i primi k campioni nel set di dati ordinati in base all'effetto causale di un trattamento consigliato, oltre agli intervalli di confidenza inferiori e superiori (CI). Questo elenco ordinato mostra essenzialmente chi sono gli individui più frequenti nel campione per la destinazione con un trattamento consigliato che avrà il massimo effetto sul risultato.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -454,60 +529,90 @@
<Item ItemId=";Counterfactuals.panelDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Browse counterfactuals and create your own. Search features to see suggested values from a diverse set of counterfactual examples. Set a suggested counterfactual feature values by clicking 'set values' text under each counterfactual name. Name your counterfactual and save it.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Consente di esplorare controfattuali e creare il proprio. Cerca le funzionalità per visualizzare i valori suggeriti da un set di esempi diversi di controfattuale. Impostare un valore di funzionalità controfattuale suggerito facendo clic sul testo 'imposta valori ' sotto ogni nome controfattuale. Assegnare un nome al controfattuale e salvarlo.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.panelHeader" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactuals]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Controfattuali, simulazione]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.recommendedPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended policy gain]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Guadagno criteri consigliati]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveAsNew" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Save as new datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Salva come nuovo punto dati]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Without strict mathematical robustness of causal inference, we do not advise users to make real-life decisions based on this tool. Use our toolkit for causal analysis for real-life intervention.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Senza una rigida affidabilità matematica dell'inferenza causale, non si consiglia agli utenti di effettuare decisioni reali basate su questo strumento. Usare il Toolkit per l'analisi causale per l'intervento Real Life.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.seePrediction" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[See prediction deltas]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Vedere i Delta di stima]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.selectedDatapoint" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Selected datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[DataPoint selezionato]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showOnly" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show only]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Mostra solo]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showTop" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show top datapoint samples ordered by causal effects for recommended treatment feature: {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Mostra i primi esempi di punti dati ordinati dagli effetti causali per la funzionalità di trattamento consigliata: {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.whatifDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if allows you to perturb features for any input and observe how the model's prediction changes. You can perturb features manually or simply specify the desired prediction(e.g., class label for a classifier) to see a list of closest data points to the original input that would lead to the desired prediction. Also known as prediction counterfactuals, you can use them for exploring the relationships learnt by the model; understanding important, necessary features for the model's predictions; or debug edge-cases for the model. To start, choose input points from the data tablr or scatter plot.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[La simulazione consente di perturbare le funzionalità per qualsiasi input e di osservare le modifiche apportate alla stima del modello. È possibile perturbare le funzionalità manualmente o specificare la stima desiderata, ad esempio un'etichetta di classe per un classificatore, per visualizzare un elenco di punti dati più vicini all'input originale che comporterebbe la stima desiderata. Conosciuta anche come stima controfattuali, è possibile usarla per esplorare le relazioni apprese dal modello, informazioni importanti sulle funzionalità necessarie per le stime del modello o debug di edge-case per il modello. Per iniziare, scegliere i punti di input dai dati in particolare o con un grafico a dispersione.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -532,6 +637,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.baseCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in base cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Istanze nella coorte di base]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -574,12 +682,18 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.incorrect" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Non corretto]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.CohortInfo.predictionPath" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Prediction path (filters)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Percorso di stima (filtri)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -595,6 +709,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.selectedCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in the selected cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Istanze nella coorte selezionata]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -655,24 +772,36 @@
<Item ItemId=";ErrorAnalysis.FilterTooltip.correctNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Esatto (#):]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.countNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Count (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Numero (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.errorSum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Error sum: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Somma errore: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.incorrectNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Non corretto (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -976,42 +1105,63 @@
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean absolute error is the average of the sum of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[L'errore assoluto medio è la media della somma degli errori.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean abs. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Errore medio abs.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean absolute error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Informazioni aggiuntive sull'errore assoluto medio]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredError" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Errore quadratico medio]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean squared error is the average of the squares of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[L'errore quadratico medio è la media dei quadrati degli errori.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean sq. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Errore quadratico medio]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Informazioni aggiuntive sull'errore quadratico medio]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6319,12 +6469,18 @@
<Item ItemId=";ModelAssessment.CohortInformation.ChangeGlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Change global cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Cambiare coorte globale]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.CreateNewCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create new cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Crea nuova coorte]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6349,18 +6505,27 @@
<Item ItemId=";ModelAssessment.CohortInformation.Filters" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Number of filters]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Numero di filtri]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.GlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohort: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Coorte globale: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortSettings.CohortSettingsDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohorts are subsets of data created by manually adding filters or saving a selected group in the error analysis component. View, create, edit, duplicate, and delete cohorts.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Le coorti globali sono subset di dati creati tramite l'aggiunta manuale di filtri o il salvataggio di un gruppo selezionato nel componente di analisi degli errori. Visualizzare, creare, modificare, duplicare ed eliminare le coorti.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6421,6 +6586,9 @@
<Item ItemId=";ModelAssessment.ComponentNames.FeatureImportances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Feature importances]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Importanza delle caratteristiche]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6580,6 +6748,9 @@
<Item ItemId=";ModelAssessment.MainMenu.createCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Creare coorte]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>

194
Localise/loc/nl/libs/localization/src/lib/en.json.lcl
Просмотреть файл

@ -85,8 +85,8 @@
<Item ItemId=";CausalAnalysis.AggregateView.lasso" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning]]></Val>
<Tgt Cat="Text" Stat="Update" Orig="New">
<Val><![CDATA[Een lasso was geschikt bij het voorspellen van X[-i]5D; en een lasso was geschikt bij het voorspellen van de X-[i]5D;. Het oorzakelijke effect kan worden weergegeven als de correlatie van de residuen/onbekende variaties van de twee voorspellingstaken. U vindt hier meer informatie over Double Machine Learning]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Een lasso was geschikt om y uit X[-i]5D; te voorspellen, en een lasso was geschikt om X[i]5D; uit X[-i]5D; te voorspellen. Het causale effect kan worden gezien als de correlatie van de residuen/onverklaarde variaties van de twee voorspellingstaken. Meer informatie over Double Machine Learning]]></Val>
</Tgt>
<Prev Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning here]]></Val>
@ -250,30 +250,45 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This graph shows the average gains of various treatment policies over the baseline of always treating {0} with {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Deze grafiek toont de gemiddelde winst van verschillende behandelingsbeleidsregels ten opzichte van de basislijn van het altijd behandelen van {0} met {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarText" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The first bar indicates average gains if the recommended global treatment policy described above was taken.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[De eerste balk geeft de gemiddelde winst aan als het aanbevolen algemene behandelbeleid zoals hierboven beschreven werd gevolgd.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Description" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[These tools help build policies for future interventions. You can identify what parts of your sample experience the largest responses to a causal driver (i.e. treatment) or construct rules to define which future populations will have the largest treatment effects.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Deze hulpprogramma's helpen bij het opstellen van beleid voor toekomstige interventies. U kunt bepalen welke delen van uw steekproef de grootste reacties op een causale factor (bijvoorbeeld behandeling) ervaren of regels opstellen om te bepalen welke toekomstige populaties de grootste behandelingseffecten zullen hebben.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Left" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[{0} <= {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} <= {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Recommended" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aanbevolen behandeling = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -289,42 +304,63 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.SelectPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Set treatment feature]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Behandelfunctie instellen]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Size" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Interpretable recommended global treatment policy for sample size (n) = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Interpreteerbaar aanbevolen globaal behandelbeleid voor steekproefgrootte (n) = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Table" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The table can be read by taking a row and then taking a column of that specific row.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[U kunt de tabel lezen door een rij te nemen en vervolgens een kolom van die specifieke rij te nemen.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.TableDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This table shows an interpretable recommended global treatment policy on your sample size. The table provides general segmentation rules and recommended treatments for the treatment feature you’ve selected.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[In deze tabel ziet u een interpreteerbaar, aanbevolen globaal behandelbeleid voor uw steekproefgrootte. De tabel bevat algemene segmentatieregels en aanbevolen behandelingen voor de behandelfunctie die u hebt geselecteerd.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.alwaysTreat" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Always treat '{0}']]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA['{0}' altijd behandelen]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.averageGain" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Average gains of alternative policies over no {0} treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gemiddelde winst van alternatief beleid ten opzichte van geen {0} behandeling]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.nSample" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[n = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[n = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -358,6 +394,9 @@
<Item ItemId=";Counterfactuals.EffectLowerBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI lower]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI lager]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -373,72 +412,108 @@
<Item ItemId=";Counterfactuals.EffectUpperBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI upper]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI bovenste]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.RecommendedTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aanbevolen behandeling]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.counterfactualName" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactual name]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Naam wat-als-nulscenario's]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.createCounterfactual" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create what-if counterfactual]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Wat-als-nulscenario maken]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.currentClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Current class]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Huidige klasse]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.decreaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Decrease value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Waarde met 1 verlagen]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.desiredClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Desired class for counterfactual(s)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gewenste klasse voor nulscenario('s)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.header" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-If analysis]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Wat-als-analyse]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.increaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Increase value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Waarde met 1 verhogen]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.individualTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended individual treatment policy]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aanbevolen beleid voor individuele behandeling]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listChoose" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Use the spinner control to choose the top k samples you’d like to view.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gebruik het spinner-besturingselement om de belangrijkste k-voorbeelden te kiezen die u wilt weergeven.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This list shows the top k samples in your dataset sorted by causal effect of a recommended treatment, along with its lower and upper confidence intervals (CI). This sorted list essentially shows you who are the top individuals in your sample to target with a recommended treatment which will have the greatest effect on the outcome.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[In deze lijst worden de belangrijkste k voorbeelden in uw gegevensset weergegeven, gesorteerd op causaal effect van een aanbevolen behandeling, samen met de onderste en bovenste betrouwbaarheidsintervallen (CI). In deze gesorteerde lijst ziet u in feite wie de belangrijkste personen in uw steekproef zijn om u op te richten met een aanbevolen behandeling die het grootste effect heeft op het resultaat.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -454,60 +529,90 @@
<Item ItemId=";Counterfactuals.panelDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Browse counterfactuals and create your own. Search features to see suggested values from a diverse set of counterfactual examples. Set a suggested counterfactual feature values by clicking 'set values' text under each counterfactual name. Name your counterfactual and save it.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Blader door nulscenario's en maak er zelf een. Zoekfuncties om voorgestelde waarden uit een verscheidenheid aan voorbeelden van nulscenario's weer te geven. Stel voorgestelde functiewaarden voor nulscenario's in door onder elk nulscenario op de tekst 'set values' te klikken. Benoem uw nulscenario en sla deze op.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.panelHeader" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactuals]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Wat-als-nulscenario's]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.recommendedPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended policy gain]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aanbevolen beleidsverbetering]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveAsNew" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Save as new datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Opslaan als nieuw gegevenspunt]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Without strict mathematical robustness of causal inference, we do not advise users to make real-life decisions based on this tool. Use our toolkit for causal analysis for real-life intervention.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Zonder strikte wiskundige robuustheid van causale gevolgtrekkingen, raden we gebruikers af om echte beslissingen te nemen op basis van dit hulpprogramma. Gebruik onze toolkit voor causale analyse voor real-life interventie.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.seePrediction" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[See prediction deltas]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Voorspellingsdelta's bekijken]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.selectedDatapoint" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Selected datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Geselecteerd gegevenspunt]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showOnly" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show only]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Alleen weergeven]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showTop" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show top datapoint samples ordered by causal effects for recommended treatment feature: {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[De belangrijkste datapointvoorbeelden weergeven op basis van causale effecten voor de aanbevolen behandelfunctie: {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.whatifDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if allows you to perturb features for any input and observe how the model's prediction changes. You can perturb features manually or simply specify the desired prediction(e.g., class label for a classifier) to see a list of closest data points to the original input that would lead to the desired prediction. Also known as prediction counterfactuals, you can use them for exploring the relationships learnt by the model; understanding important, necessary features for the model's predictions; or debug edge-cases for the model. To start, choose input points from the data tablr or scatter plot.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Met Wat-als-scenario's kunt u functies voor elke invoer verstoren en observeren hoe de voorspelling van het model verandert. U kunt functies handmatig verstoren of eenvoudig de gewenste voorspelling specificeren (bijvoorbeeld klasselabel voor een classifier) om een lijst te zien met gegevenspunten die het dichtst bij de oorspronkelijke invoer liggen en die tot de gewenste voorspelling zouden leiden. Ook bekend als nulscenario's voor voorspellingen, kunt u ze gebruiken voor het verkennen van de relaties die door het model zijn geleerd; het begrijpen van belangrijke, noodzakelijke kenmerken voor de voorspellingen van het model; of fouten opsporen in edge-cases voor het model. Kies om te beginnen invoerpunten uit de gegevenstabel of het spreidingsdiagram.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -532,12 +637,18 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.baseCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in base cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Exemplaren in basiscohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.CohortInfo.basicInformation" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Basic Information]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Algemene informatie]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -553,6 +664,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.correct" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Juist]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -568,12 +682,18 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.incorrect" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Onjuist]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.CohortInfo.predictionPath" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Prediction path (filters)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Voorspellingspad (filters)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -589,6 +709,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.selectedCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in the selected cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Exemplaren in het geselecteerde cohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -649,24 +772,36 @@
<Item ItemId=";ErrorAnalysis.FilterTooltip.correctNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Juist (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.countNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Count (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aantal (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.errorSum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Error sum: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Totaal aantal fouten: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.incorrectNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Onjuist (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -970,42 +1105,63 @@
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean absolute error is the average of the sum of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[De gemiddelde absolute fout is het gemiddelde van de som van de fouten.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean abs. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gemiddelde abs. fout]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean absolute error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aanvullende informatie over gemiddelde absolute fout]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredError" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gemiddelde kwadratische fout]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean squared error is the average of the squares of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[De gemiddelde kwadratenfout is het gemiddelde van de kwadraten van de fouten.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean sq. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Gemiddelde sq. fout]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aanvullende informatie over gemiddelde kwadratische fout]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6313,12 +6469,18 @@
<Item ItemId=";ModelAssessment.CohortInformation.ChangeGlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Change global cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Globale cohort wijzigen]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.CreateNewCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create new cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Nieuw cohort maken]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6334,24 +6496,36 @@
<Item ItemId=";ModelAssessment.CohortInformation.DefaultCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[ (default)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[ (standaard)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.Filters" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Number of filters]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aantal filters]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.GlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohort: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Globaal cohort: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortSettings.CohortSettingsDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohorts are subsets of data created by manually adding filters or saving a selected group in the error analysis component. View, create, edit, duplicate, and delete cohorts.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Globale cohorten zijn subsets van gegevens die zijn gemaakt door handmatig filters toe te voegen of een geselecteerde groep op te slaan in het onderdeel voor foutanalyse. Cohorten weergeven, maken, bewerken, dupliceren en verwijderen.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6412,6 +6586,9 @@
<Item ItemId=";ModelAssessment.ComponentNames.FeatureImportances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Feature importances]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Functie-urgenties]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6482,7 +6659,7 @@
<Str Cat="Text">
<Val><![CDATA[Delete {0}?]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} verwijderen?]]></Val>
<Val><![CDATA[{0}verwijderen?]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
@ -6527,7 +6704,7 @@
<Str Cat="Text">
<Val><![CDATA[Individual feature importance]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Afzonderlijke functie-urgentie]]></Val>
<Val><![CDATA[Belang van afzonderlijke functies]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
@ -6545,7 +6722,7 @@
<Str Cat="Text">
<Val><![CDATA[Cohort info]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Cohortinfo]]></Val>
<Val><![CDATA[Cohortgegevens]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
@ -6554,7 +6731,7 @@
<Str Cat="Text">
<Val><![CDATA[Cohort list]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Cohortenlijst]]></Val>
<Val><![CDATA[Cohortlijst]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
@ -6571,6 +6748,9 @@
<Item ItemId=";ModelAssessment.MainMenu.createCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Cohort maken]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6587,7 +6767,7 @@
<Str Cat="Text">
<Val><![CDATA[Shift cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Shiftcohort]]></Val>
<Val><![CDATA[Shift-cohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />

178
Localise/loc/sv/libs/localization/src/lib/en.json.lcl
Просмотреть файл

@ -85,8 +85,8 @@
<Item ItemId=";CausalAnalysis.AggregateView.lasso" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning]]></Val>
<Tgt Cat="Text" Stat="Update" Orig="New">
<Val><![CDATA[En lassomarkering var lämpad för att förutse y från X [-i]5D;, och en lassomarkering var lämpad för att förutsäga X-[i]5D; från X [-i]5D;. Orsakseffekten kan ses som korrelationen av resterna/de två förklarande variationerna i de två förutsägelse aktiviteterna. Läs mer om Double Machine Learning här]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[En lassomarkering var lämpad för att förutse y från X [-i]5D;, och en lassomarkering var lämpad för att förutsäga X-[i]5D; från X [-i]5D;. Orsakseffekten kan ses som korrelationen av resterna/de två förklarande variationerna i de två förutsägelse aktiviteterna. Läs mer om Double Machine Learning]]></Val>
</Tgt>
<Prev Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning here]]></Val>
@ -250,30 +250,45 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This graph shows the average gains of various treatment policies over the baseline of always treating {0} with {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Det här diagrammet visar de genomsnittliga fördelarna med olika behandlingsprinciper jämfört med baslinjen för att alltid behandla {0} med {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarText" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The first bar indicates average gains if the recommended global treatment policy described above was taken.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Den första stapeln anger genomsnittliga vinster om den rekommenderade globala behandlingsprincipen som beskrivs har tagits.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Description" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[These tools help build policies for future interventions. You can identify what parts of your sample experience the largest responses to a causal driver (i.e. treatment) or construct rules to define which future populations will have the largest treatment effects.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Dessa verktyg hjälper dig att skapa principer för framtida åtgärder. Du kan identifiera vilka delar av exempelupplevelsen som har flest svar på en orsakssambandsdrivrutin (t. ex. behandling) eller skapa regler för att definiera vilka framtida populationer som får störst behandlingseffekter.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Left" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[{0} <= {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} <= {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Recommended" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Rekommenderad behandling = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -289,42 +304,63 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.SelectPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Set treatment feature]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ange behandlingsfunktion]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Size" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Interpretable recommended global treatment policy for sample size (n) = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Tolkningsbar rekommenderad global behandlingsprincip för urvalsstorlek (n) = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Table" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The table can be read by taking a row and then taking a column of that specific row.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Tabellen kan läsas genom att ta en rad och sedan ta en kolumn med den specifika raden.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.TableDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This table shows an interpretable recommended global treatment policy on your sample size. The table provides general segmentation rules and recommended treatments for the treatment feature you’ve selected.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Den här tabellen visar en tolkningsbar rekommenderad global behandlingsprincip för din urvalsstorlek. Tabellen innehåller allmänna segmenteringsregler och rekommenderade behandlingsregler för den behandlingsfunktion som du har valt.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.alwaysTreat" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Always treat '{0}']]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Behandla alltid {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.averageGain" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Average gains of alternative policies over no {0} treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Genomsnittliga vinster med alternativa principer utan {0} behandling]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.nSample" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[n = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[n = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -358,6 +394,9 @@
<Item ItemId=";Counterfactuals.EffectLowerBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI lower]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI lower]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -373,72 +412,108 @@
<Item ItemId=";Counterfactuals.EffectUpperBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI upper]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI upper]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.RecommendedTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Rekommenderad behandling]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.counterfactualName" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactual name]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Kontrafaktual namn för konsekvensgranskning]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.createCounterfactual" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create what-if counterfactual]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Skapa kontrafaktual namn för konsekvensgranskning]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.currentClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Current class]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Aktuell klass]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.decreaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Decrease value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Minska värdet med 1]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.desiredClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Desired class for counterfactual(s)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Önskad klass för kontrafaktiska]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.header" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-If analysis]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Konsekvensanalys]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.increaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Increase value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Öka värdet med 1]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.individualTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended individual treatment policy]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Rekommenderad individuell behandlingsprincip]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listChoose" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Use the spinner control to choose the top k samples you’d like to view.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Använd rotationsrutan för att välja de översta k exemplen som du vill visa.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This list shows the top k samples in your dataset sorted by causal effect of a recommended treatment, along with its lower and upper confidence intervals (CI). This sorted list essentially shows you who are the top individuals in your sample to target with a recommended treatment which will have the greatest effect on the outcome.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[I den här listan visas de viktigaste k-exemplen i datamängden sorterade efter orsakssamband av en rekommenderad behandling, tillsammans med dess nedre och övre konfidensintervall (CI). Den här sorterade listan visar i huvudsak vilka som är de viktigaste de främsta individerna i ditt urval att rikta in sig på med en rekommenderad behandling som har störst effekt på resultatet.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -454,60 +529,90 @@
<Item ItemId=";Counterfactuals.panelDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Browse counterfactuals and create your own. Search features to see suggested values from a diverse set of counterfactual examples. Set a suggested counterfactual feature values by clicking 'set values' text under each counterfactual name. Name your counterfactual and save it.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Bläddra bland kontrafaktiska och skapa egna. Sök efter funktioner för att se föreslagna värden från en mängd olika kontrafaktiska exempel. Ange ett föreslaget kontrafaktiskt funktionsvärde genom att klicka på ange värdetext under varje kontrafaktisktnamn. Namnge ditt kontrafaktiska och spara det.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.panelHeader" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactuals]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Konsekvensgranskning]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.recommendedPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended policy gain]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Rekommenderade principvinster]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveAsNew" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Save as new datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Spara som ny datapunkt]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Without strict mathematical robustness of causal inference, we do not advise users to make real-life decisions based on this tool. Use our toolkit for causal analysis for real-life intervention.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Utan strikt matematisk robusthet för kausal slutsatsdragning rekommenderar vi inte att användarna fattar verkliga beslut baserat på det här verktyget. Använd vår verktygslåda för kausal analys för verkliga åtgärder.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.seePrediction" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[See prediction deltas]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Se förutsägelse delta]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.selectedDatapoint" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Selected datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Vald datapunkt]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showOnly" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show only]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Visa endast]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showTop" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show top datapoint samples ordered by causal effects for recommended treatment feature: {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Visa de främsta datapunktsexemplen ordnade efter kausala effekter för rekommenderad behandlingsfunktion: {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.whatifDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if allows you to perturb features for any input and observe how the model's prediction changes. You can perturb features manually or simply specify the desired prediction(e.g., class label for a classifier) to see a list of closest data points to the original input that would lead to the desired prediction. Also known as prediction counterfactuals, you can use them for exploring the relationships learnt by the model; understanding important, necessary features for the model's predictions; or debug edge-cases for the model. To start, choose input points from the data tablr or scatter plot.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Med konsekvensgranskning kan du perturbera funktioner för alla indata och se hur modellens förutsägelser förändras. Du kan perturbera funktioner manuellt eller ange önskad förutsägelse (t. ex. klassetikett för en klassificerare) för att visa en lista över närmaste datapunkter för den ursprungliga indata som leder till den önskade förutsägelsen. Du kan även använda dem för att utforska relationerna som modellen har lärt sig; förstå viktiga, nödvändiga funktioner för modellens förutsägelser; eller felsöka edge-fall för modellen. Börja med att välja indatapunkter från datatablr- eller punktdiagrammet.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -532,12 +637,18 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.baseCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in base cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Instanser i bas-kohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.CohortInfo.basicInformation" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Basic Information]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Grundläggande information]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -580,6 +691,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.predictionPath" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Prediction path (filters)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Förutsägelsesökväg (filter)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -595,6 +709,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.selectedCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in the selected cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Instanser i den valda kohorten]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -655,24 +772,36 @@
<Item ItemId=";ErrorAnalysis.FilterTooltip.correctNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Korrekt (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.countNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Count (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Antal (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.errorSum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Error sum: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Felsumma: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.incorrectNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Felaktig (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -976,42 +1105,63 @@
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean absolute error is the average of the sum of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Det genomsnittliga absoluta felet är medelvärdet av summan av felen.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean abs. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Genomsnittligt abs. fel]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean absolute error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ytterligare information om genomsnittligt absolut fel]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredError" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Genomsnittligt kvadratfel]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean squared error is the average of the squares of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Det genomsnittliga kvadratfelet är medelvärdet av kvadraterna för felen.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean sq. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Genomsnittligt sq. fel]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ytterligare information om genomsnittligt kvadratfel]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6319,12 +6469,18 @@
<Item ItemId=";ModelAssessment.CohortInformation.ChangeGlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Change global cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ändra global kohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.CreateNewCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create new cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Skapa ny kohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6340,24 +6496,36 @@
<Item ItemId=";ModelAssessment.CohortInformation.DefaultCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[ (default)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[ (standardinställning)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.Filters" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Number of filters]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Antal filer]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.GlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohort: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Global kohort: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortSettings.CohortSettingsDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohorts are subsets of data created by manually adding filters or saving a selected group in the error analysis component. View, create, edit, duplicate, and delete cohorts.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Globala kohorter är delmängder av data som skapas genom att manuellt lägga till filter eller spara en vald grupp i felanalyskomponenten. Visa, skapa, redigera, duplicera och ta bort kohorter.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6418,6 +6586,9 @@
<Item ItemId=";ModelAssessment.ComponentNames.FeatureImportances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Feature importances]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Funktionsrelevanser]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6577,6 +6748,9 @@
<Item ItemId=";ModelAssessment.MainMenu.createCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Skapa kohort]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>

178
Localise/loc/tr/libs/localization/src/lib/en.json.lcl
Просмотреть файл

@ -85,8 +85,8 @@
<Item ItemId=";CausalAnalysis.AggregateView.lasso" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning]]></Val>
<Tgt Cat="Text" Stat="Update" Orig="New">
<Val><![CDATA[Bir kement seçimi, y'yi X [-i]5D;'den tahmin etmeye ve bir kement seçimi, X [-i]5D;'den X [i]5D;'yi tahmin etmeye uygundu. Nedensel etki, iki tahmin görevinin kalıntıları/açıklanamayan varyasyonlarının bağıntısı olarak görülebilir. Buradan, İkili Makine Öğrenme hakkında daha fazla bilgi edinin]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Bir kement seçimi, y'yi X [-i]5D;'den tahmin etmeye ve bir kement seçimi, X [-i]5D;'den X [i]5D;'yi tahmin etmeye uygundu. Nedensel etki, iki tahmin görevinin kalıntıları/açıklanamayan varyasyonlarının bağıntısı olarak görüntülenebilir. İkili Makine Öğrenme hakkında daha fazla bilgi edinin]]></Val>
</Tgt>
<Prev Cat="Text">
<Val><![CDATA[A lasso was fit to predict y from X[-i]5D;, and a lasso was fit to predict X[i]5D; from X[-i]5D;. The causal effect can be viewed as the correlation of the residuals/unexplained variations of the two prediction tasks. Learn more about Double Machine Learning here]]></Val>
@ -250,30 +250,45 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This graph shows the average gains of various treatment policies over the baseline of always treating {0} with {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Bu grafik, her zaman {0}'e {1}'yi işleme temeline göre çeşitli işlem ilkelerinin ortalama kazanımlarını gösterir.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.BarText" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The first bar indicates average gains if the recommended global treatment policy described above was taken.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[İlk çubuk, yukarıda açıklanan önerilen genel işlem ilkesi uygulanmışsa, ortalama kazanımları gösterir.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Description" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[These tools help build policies for future interventions. You can identify what parts of your sample experience the largest responses to a causal driver (i.e. treatment) or construct rules to define which future populations will have the largest treatment effects.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Bu araçlar, gelecekteki müdahaleler için ilkeler derlemeye yardımcı olur. Örneğinizin hangi bölümlerinin nedensel bir sürücüye (yani işlem) en büyük yanıtları deneyimlediğini belirleyebilir veya gelecekteki hangi veri kümelerinin en büyük işlem etkilerine sahip olacağını tanımlamak için kurallar oluşturabilirsiniz.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Left" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[{0} <= {1}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[{0} <= {1}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Recommended" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Önerilen işlem = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -289,42 +304,63 @@
<Item ItemId=";CausalAnalysis.TreatmentPolicy.SelectPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Set treatment feature]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[İşleme özelliğini ayarla]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Size" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Interpretable recommended global treatment policy for sample size (n) = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Örnek boyutu için yorumlanabilir önerilen genel işlem ilkesi (n) = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.Table" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The table can be read by taking a row and then taking a column of that specific row.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Tablo, bir satır alarak ve ardından bu belirli satırın bir sütunu alınarak okunabilir.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.TableDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This table shows an interpretable recommended global treatment policy on your sample size. The table provides general segmentation rules and recommended treatments for the treatment feature you’ve selected.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Bu tablo, örnek boyutunuzla ilgili yorumlanabilir bir önerilen genel işlem ilkesi gösterir. Tablo, seçtiğiniz işlem özelliği için genel segmentlere ayırma kurallarını ve önerilen işlemleri sağlar.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.alwaysTreat" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Always treat '{0}']]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Her zaman ' {0} ' olarak değerlendir]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.averageGain" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Average gains of alternative policies over no {0} treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Hiç {0} işlem olmamasına kıyasla alternatif ilkelerin ortalama kazanımları]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";CausalAnalysis.TreatmentPolicy.nSample" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[n = {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[n = {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -358,6 +394,9 @@
<Item ItemId=";Counterfactuals.EffectLowerBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI lower]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI_lower]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -373,72 +412,108 @@
<Item ItemId=";Counterfactuals.EffectUpperBound" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[CI upper]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[CI upper]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.RecommendedTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended treatment]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Önerilen işlem]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.counterfactualName" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactual name]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Etki değerlendirmesi karşıolgusal adı]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.createCounterfactual" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create what-if counterfactual]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Etki değerlendirmesi karşıolgusalı oluştur]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.currentClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Current class]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Geçerli sınıf]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.decreaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Decrease value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Değeri 1 azaltın]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.desiredClass" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Desired class for counterfactual(s)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Karşıolgusal(lar) için istenen sınıf]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.header" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-If analysis]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Durum çözümlemesi]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.increaseByOne" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Increase value by 1]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Değeri 1 artır]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.individualTreatment" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended individual treatment policy]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Önerilen bireysel işleme ilkesi]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listChoose" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Use the spinner control to choose the top k samples you’d like to view.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Görüntülemek istediğiniz en iyi k örneğini seçmek için çark denetimini kullanın.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.listDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[This list shows the top k samples in your dataset sorted by causal effect of a recommended treatment, along with its lower and upper confidence intervals (CI). This sorted list essentially shows you who are the top individuals in your sample to target with a recommended treatment which will have the greatest effect on the outcome.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Bu liste, alt ve üst güvenilirlik aralıkları (CI) ile birlikte önerilen bir işlemin nedensel etkisine göre sıralanmış veri kümenizdeki en iyi k örneklerini gösterir. Bu sıralanmış liste, aslında, sonuç üzerinde en büyük etkiye sahip olacak önerilen bir işlemle örneğinizde hedeflenen en iyi bireylerin kim olduğunu gösterir.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -454,60 +529,90 @@
<Item ItemId=";Counterfactuals.panelDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Browse counterfactuals and create your own. Search features to see suggested values from a diverse set of counterfactual examples. Set a suggested counterfactual feature values by clicking 'set values' text under each counterfactual name. Name your counterfactual and save it.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Karşıolgusallara göz atın ve kendinizinkini oluşturun. Çok çeşitli karşıolgusal örneklerden önerilen değerleri görmek için arama özellikleri. Her karşıolgusal adının altındaki 'değerleri ayarla' metnine tıklayarak önerilen bir karşıolgusal özellik değeri ayarlayın. Karşıolgusalınızı adlandırın ve kaydedin.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.panelHeader" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if counterfactuals]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Etki değerlendirmesi karşıolgusalları]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.recommendedPolicy" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Recommended policy gain]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Önerilen ilke kazancı]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveAsNew" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Save as new datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Yeni veri noktası olarak kaydet]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.saveDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Without strict mathematical robustness of causal inference, we do not advise users to make real-life decisions based on this tool. Use our toolkit for causal analysis for real-life intervention.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Nedensel çıkarımın katı matematiksel sağlamlığı olmadan, kullanıcılara bu araca dayalı olarak gerçek hayatta kararlar vermeleri tavsiye edilmez. Gerçek hayatta müdahale için nedensel analiz araç setimizi kullanın.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.seePrediction" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[See prediction deltas]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Tahmin deltalarını gör]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.selectedDatapoint" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Selected datapoint]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Seçili veri noktası]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showOnly" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show only]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Yalnızca gösterilecekler]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.showTop" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Show top datapoint samples ordered by causal effects for recommended treatment feature: {0}]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Önerilen işlem özelliği için nedensel etkilere göre sıralanmış en iyi veri noktası örneklerini göster: {0}]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";Counterfactuals.whatifDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[What-if allows you to perturb features for any input and observe how the model's prediction changes. You can perturb features manually or simply specify the desired prediction(e.g., class label for a classifier) to see a list of closest data points to the original input that would lead to the desired prediction. Also known as prediction counterfactuals, you can use them for exploring the relationships learnt by the model; understanding important, necessary features for the model's predictions; or debug edge-cases for the model. To start, choose input points from the data tablr or scatter plot.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Etki değerlendirmesi, herhangi bir girdi için özellikleri bozmanıza ve modelin tahmininin nasıl değiştiğini gözlemlemenize olanak tanır. Özellikleri kendiniz bozabilir veya istenen tahmine yol açacak orijinal girdiye en yakın veri noktalarının bir listesini görmek için istediğiniz tahmini (örneğin, bir sınıflandırıcı için sınıf etiketi) belirtebilirsiniz. Tahmin karşıolgusalı olarak da bilinir; bunları model tarafından öğrenilen ilişkileri keşfetmek; modelin tahminleri için önemli, gerekli özellikleri anlamak; veya model için uç durumlarda hata ayıklamada kullanabilirsiniz. Başlamak için, veri tablosundan veya dağılım grafiğinden giriş noktalarını seçin.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -532,6 +637,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.baseCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in base cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Temel kohortdaki örnekler]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -556,6 +664,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.correct" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Doğru]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -571,12 +682,18 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.incorrect" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Yanlış]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.CohortInfo.predictionPath" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Prediction path (filters)]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Tahmin yolu (filtreler)]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -592,6 +709,9 @@
<Item ItemId=";ErrorAnalysis.CohortInfo.selectedCohortInstances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Instances in the selected cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Seçili kohortdaki örnekler]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -652,24 +772,36 @@
<Item ItemId=";ErrorAnalysis.FilterTooltip.correctNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Correct (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Doğru (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.countNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Count (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Sayı (#):]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.errorSum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Error sum: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Hata toplamı: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.FilterTooltip.incorrectNum" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Incorrect (#): ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Yanlış (#): ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -973,42 +1105,63 @@
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean absolute error is the average of the sum of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama mutlak hata, hataların toplamının ortalamasıdır.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean abs. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama mutlak hata]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanAbsoluteErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean absolute error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama mutlak hata hakkında ek bilgi]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredError" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama hata karesi]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorInfo" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[The mean squared error is the average of the squares of the errors.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama hata karesi hataların karelerinin ortalamasıdır.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorShort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Mean sq. error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama hata karesi]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ErrorAnalysis.Metrics.meanSquaredErrorTitle" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Additional information on mean squared error]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Ortalama hata karesi hakkında ek bilgiler]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6316,12 +6469,18 @@
<Item ItemId=";ModelAssessment.CohortInformation.ChangeGlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Change global cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Genel kohort 'u değiştir]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.CreateNewCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create new cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Yeni kohort oluştur]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6346,18 +6505,27 @@
<Item ItemId=";ModelAssessment.CohortInformation.Filters" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Number of filters]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Filtre sayısı]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortInformation.GlobalCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohort: ]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Genel kohort: ]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
<Item ItemId=";ModelAssessment.CohortSettings.CohortSettingsDescription" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Global cohorts are subsets of data created by manually adding filters or saving a selected group in the error analysis component. View, create, edit, duplicate, and delete cohorts.]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Global kohortlar, el ile filtreler ekleyerek veya seçili bir grubu hata analizi bileşenine kaydederek oluşturulan veri alt kümeleridir. Kohortları görüntüleyin, oluşturun, düzenleyin, çoğaltın ve silin.]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6418,6 +6586,9 @@
<Item ItemId=";ModelAssessment.ComponentNames.FeatureImportances" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Feature importances]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Özellik önem dereceleri]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>
@ -6577,6 +6748,9 @@
<Item ItemId=";ModelAssessment.MainMenu.createCohort" ItemType="0" PsrId="306" Leaf="true">
<Str Cat="Text">
<Val><![CDATA[Create cohort]]></Val>
<Tgt Cat="Text" Stat="Loc" Orig="New">
<Val><![CDATA[Kohort oluştur]]></Val>
</Tgt>
</Str>
<Disp Icon="Str" />
</Item>