294 строки
24 KiB
YAML
294 строки
24 KiB
YAML
### YamlMime:JavaType
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uid: "com.azure.resourcemanager.machinelearning.models.TableVertical"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical"
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name: "TableVertical"
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nameWithType: "TableVertical"
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summary: "Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting."
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inheritances:
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- "<xref href=\"java.lang.Object?displayProperty=fullName\" data-throw-if-not-resolved=\"False\" />"
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inheritedClassMethods:
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- classRef: "java.lang.<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html\">Object</a>"
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methodsRef:
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#clone--\">clone</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#equals-java.lang.Object-\">equals</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#finalize--\">finalize</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#getClass--\">getClass</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#hashCode--\">hashCode</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#notify--\">notify</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#notifyAll--\">notifyAll</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#toString--\">toString</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait--\">wait</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-\">wait</a>"
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- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-int-\">wait</a>"
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syntax: "public class **TableVertical**</br> implements <xref href=\"com.azure.json.JsonSerializable?alt=com.azure.json.JsonSerializable&text=JsonSerializable\" data-throw-if-not-resolved=\"False\" /><<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />>"
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constructors:
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.TableVertical()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.TableVertical()"
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name: "TableVertical()"
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nameWithType: "TableVertical.TableVertical()"
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summary: "Creates an instance of Table<wbr>Vertical class."
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syntax: "public TableVertical()"
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desc: "Creates an instance of TableVertical class."
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methods:
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.cvSplitColumnNames()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.cvSplitColumnNames()"
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name: "cvSplitColumnNames()"
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nameWithType: "TableVertical.cvSplitColumnNames()"
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summary: "Get the cv<wbr>Split<wbr>Column<wbr>Names property: Columns to use for CVSplit data."
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syntax: "public List<String> cvSplitColumnNames()"
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desc: "Get the cvSplitColumnNames property: Columns to use for CVSplit data."
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returns:
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description: "the cvSplitColumnNames value."
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/util/List.html\">List</a><<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>>"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.featurizationSettings()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.featurizationSettings()"
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name: "featurizationSettings()"
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nameWithType: "TableVertical.featurizationSettings()"
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summary: "Get the featurization<wbr>Settings property: Featurization inputs needed for AutoML job."
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syntax: "public TableVerticalFeaturizationSettings featurizationSettings()"
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desc: "Get the featurizationSettings property: Featurization inputs needed for AutoML job."
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returns:
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description: "the featurizationSettings value."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings&text=TableVerticalFeaturizationSettings\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.fromJson(com.azure.json.JsonReader)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.fromJson(JsonReader jsonReader)"
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name: "fromJson(JsonReader jsonReader)"
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nameWithType: "TableVertical.fromJson(JsonReader jsonReader)"
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summary: "Reads an instance of Table<wbr>Vertical from the Json<wbr>Reader."
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modifiers:
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- "static"
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parameters:
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- description: "The JsonReader being read."
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name: "jsonReader"
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type: "<xref href=\"com.azure.json.JsonReader?alt=com.azure.json.JsonReader&text=JsonReader\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public static TableVertical fromJson(JsonReader jsonReader)"
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exceptions:
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- description: "If an error occurs while reading the TableVertical."
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/io/IOException.html\">IOException</a>"
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desc: "Reads an instance of TableVertical from the JsonReader."
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returns:
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description: "An instance of TableVertical if the JsonReader was pointing to an instance of it, or null if it was\n pointing to JSON null."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.limitSettings()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.limitSettings()"
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name: "limitSettings()"
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nameWithType: "TableVertical.limitSettings()"
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summary: "Get the limit<wbr>Settings property: Execution constraints for Auto<wbr>MLJob."
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syntax: "public TableVerticalLimitSettings limitSettings()"
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desc: "Get the limitSettings property: Execution constraints for AutoMLJob."
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returns:
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description: "the limitSettings value."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings&text=TableVerticalLimitSettings\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.nCrossValidations()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.nCrossValidations()"
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name: "nCrossValidations()"
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nameWithType: "TableVertical.nCrossValidations()"
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summary: "Get the n<wbr>Cross<wbr>Validations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided."
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syntax: "public NCrossValidations nCrossValidations()"
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desc: "Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided."
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returns:
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description: "the nCrossValidations value."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.NCrossValidations?alt=com.azure.resourcemanager.machinelearning.models.NCrossValidations&text=NCrossValidations\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.testData()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.testData()"
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name: "testData()"
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nameWithType: "TableVertical.testData()"
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summary: "Get the test<wbr>Data property: Test data input."
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syntax: "public MLTableJobInput testData()"
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desc: "Get the testData property: Test data input."
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returns:
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description: "the testData value."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.testDataSize()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.testDataSize()"
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name: "testDataSize()"
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nameWithType: "TableVertical.testDataSize()"
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summary: "Get the test<wbr>Data<wbr>Size property: The fraction of test dataset that needs to be set aside for validation purpose."
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syntax: "public Double testDataSize()"
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desc: "Get the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided."
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returns:
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description: "the testDataSize value."
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.toJson(com.azure.json.JsonWriter)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.toJson(JsonWriter jsonWriter)"
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name: "toJson(JsonWriter jsonWriter)"
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nameWithType: "TableVertical.toJson(JsonWriter jsonWriter)"
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parameters:
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- name: "jsonWriter"
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type: "<xref href=\"com.azure.json.JsonWriter?alt=com.azure.json.JsonWriter&text=JsonWriter\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public JsonWriter toJson(JsonWriter jsonWriter)"
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exceptions:
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- type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/io/IOException.html\">IOException</a>"
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returns:
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type: "<xref href=\"com.azure.json.JsonWriter?alt=com.azure.json.JsonWriter&text=JsonWriter\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.validate()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.validate()"
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name: "validate()"
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nameWithType: "TableVertical.validate()"
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summary: "Validates the instance."
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syntax: "public void validate()"
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desc: "Validates the instance."
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.validationData()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.validationData()"
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name: "validationData()"
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nameWithType: "TableVertical.validationData()"
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summary: "Get the validation<wbr>Data property: Validation data inputs."
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syntax: "public MLTableJobInput validationData()"
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desc: "Get the validationData property: Validation data inputs."
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returns:
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description: "the validationData value."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.validationDataSize()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.validationDataSize()"
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name: "validationDataSize()"
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nameWithType: "TableVertical.validationDataSize()"
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summary: "Get the validation<wbr>Data<wbr>Size property: The fraction of training dataset that needs to be set aside for validation purpose."
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syntax: "public Double validationDataSize()"
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desc: "Get the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided."
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returns:
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description: "the validationDataSize value."
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.weightColumnName()"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.weightColumnName()"
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name: "weightColumnName()"
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nameWithType: "TableVertical.weightColumnName()"
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summary: "Get the weight<wbr>Column<wbr>Name property: The name of the sample weight column."
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syntax: "public String weightColumnName()"
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desc: "Get the weightColumnName property: The name of the sample weight column. Automated ML supports a weighted column as an input, causing rows in the data to be weighted up or down."
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returns:
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description: "the weightColumnName value."
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withCvSplitColumnNames(java.util.List<java.lang.String>)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withCvSplitColumnNames(List<String> cvSplitColumnNames)"
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name: "withCvSplitColumnNames(List<String> cvSplitColumnNames)"
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nameWithType: "TableVertical.withCvSplitColumnNames(List<String> cvSplitColumnNames)"
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summary: "Set the cv<wbr>Split<wbr>Column<wbr>Names property: Columns to use for CVSplit data."
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parameters:
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- description: "the cvSplitColumnNames value to set."
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name: "cvSplitColumnNames"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/util/List.html\">List</a><<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>>"
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syntax: "public TableVertical withCvSplitColumnNames(List<String> cvSplitColumnNames)"
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desc: "Set the cvSplitColumnNames property: Columns to use for CVSplit data."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withFeaturizationSettings(com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
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name: "withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
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nameWithType: "TableVertical.withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
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summary: "Set the featurization<wbr>Settings property: Featurization inputs needed for AutoML job."
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parameters:
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- description: "the featurizationSettings value to set."
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name: "featurizationSettings"
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings&text=TableVerticalFeaturizationSettings\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public TableVertical withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
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desc: "Set the featurizationSettings property: Featurization inputs needed for AutoML job."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withLimitSettings(com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withLimitSettings(TableVerticalLimitSettings limitSettings)"
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name: "withLimitSettings(TableVerticalLimitSettings limitSettings)"
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nameWithType: "TableVertical.withLimitSettings(TableVerticalLimitSettings limitSettings)"
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summary: "Set the limit<wbr>Settings property: Execution constraints for Auto<wbr>MLJob."
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parameters:
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- description: "the limitSettings value to set."
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name: "limitSettings"
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings&text=TableVerticalLimitSettings\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public TableVertical withLimitSettings(TableVerticalLimitSettings limitSettings)"
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desc: "Set the limitSettings property: Execution constraints for AutoMLJob."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withNCrossValidations(com.azure.resourcemanager.machinelearning.models.NCrossValidations)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withNCrossValidations(NCrossValidations nCrossValidations)"
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name: "withNCrossValidations(NCrossValidations nCrossValidations)"
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nameWithType: "TableVertical.withNCrossValidations(NCrossValidations nCrossValidations)"
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summary: "Set the n<wbr>Cross<wbr>Validations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided."
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parameters:
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- description: "the nCrossValidations value to set."
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name: "nCrossValidations"
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.NCrossValidations?alt=com.azure.resourcemanager.machinelearning.models.NCrossValidations&text=NCrossValidations\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public TableVertical withNCrossValidations(NCrossValidations nCrossValidations)"
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desc: "Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withTestData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withTestData(MLTableJobInput testData)"
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name: "withTestData(MLTableJobInput testData)"
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nameWithType: "TableVertical.withTestData(MLTableJobInput testData)"
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summary: "Set the test<wbr>Data property: Test data input."
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parameters:
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- description: "the testData value to set."
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name: "testData"
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public TableVertical withTestData(MLTableJobInput testData)"
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desc: "Set the testData property: Test data input."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withTestDataSize(java.lang.Double)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withTestDataSize(Double testDataSize)"
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name: "withTestDataSize(Double testDataSize)"
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nameWithType: "TableVertical.withTestDataSize(Double testDataSize)"
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summary: "Set the test<wbr>Data<wbr>Size property: The fraction of test dataset that needs to be set aside for validation purpose."
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parameters:
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- description: "the testDataSize value to set."
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name: "testDataSize"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
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syntax: "public TableVertical withTestDataSize(Double testDataSize)"
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desc: "Set the testDataSize property: The fraction of test dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withValidationData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withValidationData(MLTableJobInput validationData)"
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name: "withValidationData(MLTableJobInput validationData)"
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nameWithType: "TableVertical.withValidationData(MLTableJobInput validationData)"
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summary: "Set the validation<wbr>Data property: Validation data inputs."
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parameters:
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- description: "the validationData value to set."
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name: "validationData"
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
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syntax: "public TableVertical withValidationData(MLTableJobInput validationData)"
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desc: "Set the validationData property: Validation data inputs."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withValidationDataSize(java.lang.Double)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withValidationDataSize(Double validationDataSize)"
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name: "withValidationDataSize(Double validationDataSize)"
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nameWithType: "TableVertical.withValidationDataSize(Double validationDataSize)"
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summary: "Set the validation<wbr>Data<wbr>Size property: The fraction of training dataset that needs to be set aside for validation purpose."
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parameters:
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- description: "the validationDataSize value to set."
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name: "validationDataSize"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
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syntax: "public TableVertical withValidationDataSize(Double validationDataSize)"
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desc: "Set the validationDataSize property: The fraction of training dataset that needs to be set aside for validation purpose. Values between (0.0 , 1.0) Applied when validation dataset is not provided."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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- uid: "com.azure.resourcemanager.machinelearning.models.TableVertical.withWeightColumnName(java.lang.String)"
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fullName: "com.azure.resourcemanager.machinelearning.models.TableVertical.withWeightColumnName(String weightColumnName)"
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name: "withWeightColumnName(String weightColumnName)"
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nameWithType: "TableVertical.withWeightColumnName(String weightColumnName)"
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summary: "Set the weight<wbr>Column<wbr>Name property: The name of the sample weight column."
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parameters:
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- description: "the weightColumnName value to set."
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name: "weightColumnName"
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type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
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syntax: "public TableVertical withWeightColumnName(String weightColumnName)"
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desc: "Set the weightColumnName property: The name of the sample weight column. Automated ML supports a weighted column as an input, causing rows in the data to be weighted up or down."
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returns:
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description: "the TableVertical object itself."
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type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />"
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type: "class"
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desc: "Abstract class for AutoML tasks that use table dataset as input - such as Classification/Regression/Forecasting."
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implements:
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- "<xref href=\"com.azure.json.JsonSerializable?alt=com.azure.json.JsonSerializable&text=JsonSerializable\" data-throw-if-not-resolved=\"False\" /><<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVertical?alt=com.azure.resourcemanager.machinelearning.models.TableVertical&text=TableVertical\" data-throw-if-not-resolved=\"False\" />>"
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metadata: {}
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package: "com.azure.resourcemanager.machinelearning.models"
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artifact: com.azure.resourcemanager:azure-resourcemanager-machinelearning:1.1.0
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