405 строки
35 KiB
YAML
405 строки
35 KiB
YAML
### YamlMime:JavaType
|
|
uid: "com.azure.resourcemanager.machinelearning.models.Regression"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression"
|
|
name: "Regression"
|
|
nameWithType: "Regression"
|
|
summary: "Regression task in AutoML Table vertical."
|
|
inheritances:
|
|
- "<xref href=\"java.lang.Object?displayProperty=fullName\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical?displayProperty=fullName\" data-throw-if-not-resolved=\"False\" />"
|
|
inheritedClassMethods:
|
|
- classRef: "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical&text=AutoMLVertical\" data-throw-if-not-resolved=\"False\" />"
|
|
methodsRef:
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.fromJson(com.azure.json.JsonReader)?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.fromJson&text=fromJson\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.logVerbosity()?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.logVerbosity&text=logVerbosity\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.targetColumnName()?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.targetColumnName&text=targetColumnName\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.taskType()?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.taskType&text=taskType\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.toJson(com.azure.json.JsonWriter)?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.toJson&text=toJson\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.trainingData()?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.trainingData&text=trainingData\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.validate()?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.validate&text=validate\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withLogVerbosity(com.azure.resourcemanager.machinelearning.models.LogVerbosity)?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withLogVerbosity&text=withLogVerbosity\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withTargetColumnName(java.lang.String)?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withTargetColumnName&text=withTargetColumnName\" data-throw-if-not-resolved=\"False\" />"
|
|
- "<xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withTrainingData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withTrainingData&text=withTrainingData\" data-throw-if-not-resolved=\"False\" />"
|
|
- classRef: "java.lang.<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html\">Object</a>"
|
|
methodsRef:
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#clone--\">clone</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#equals-java.lang.Object-\">equals</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#finalize--\">finalize</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#getClass--\">getClass</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#hashCode--\">hashCode</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#notify--\">notify</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#notifyAll--\">notifyAll</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#toString--\">toString</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait--\">wait</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-\">wait</a>"
|
|
- "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Object.html#wait-long-int-\">wait</a>"
|
|
syntax: "public final class **Regression**</br> extends <xref href=\"com.azure.resourcemanager.machinelearning.models.AutoMLVertical?alt=com.azure.resourcemanager.machinelearning.models.AutoMLVertical&text=AutoMLVertical\" data-throw-if-not-resolved=\"False\" />"
|
|
constructors:
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.Regression()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.Regression()"
|
|
name: "Regression()"
|
|
nameWithType: "Regression.Regression()"
|
|
summary: "Creates an instance of Regression class."
|
|
syntax: "public Regression()"
|
|
desc: "Creates an instance of Regression class."
|
|
methods:
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.cvSplitColumnNames()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.cvSplitColumnNames()"
|
|
name: "cvSplitColumnNames()"
|
|
nameWithType: "Regression.cvSplitColumnNames()"
|
|
summary: "Get the cv<wbr>Split<wbr>Column<wbr>Names property: Columns to use for CVSplit data."
|
|
syntax: "public List<String> cvSplitColumnNames()"
|
|
desc: "Get the cvSplitColumnNames property: Columns to use for CVSplit data."
|
|
returns:
|
|
description: "the cvSplitColumnNames value."
|
|
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>>"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.featurizationSettings()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.featurizationSettings()"
|
|
name: "featurizationSettings()"
|
|
nameWithType: "Regression.featurizationSettings()"
|
|
summary: "Get the featurization<wbr>Settings property: Featurization inputs needed for AutoML job."
|
|
syntax: "public TableVerticalFeaturizationSettings featurizationSettings()"
|
|
desc: "Get the featurizationSettings property: Featurization inputs needed for AutoML job."
|
|
returns:
|
|
description: "the featurizationSettings value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings&text=TableVerticalFeaturizationSettings\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.fromJson(com.azure.json.JsonReader)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.fromJson(JsonReader jsonReader)"
|
|
name: "fromJson(JsonReader jsonReader)"
|
|
nameWithType: "Regression.fromJson(JsonReader jsonReader)"
|
|
summary: "Reads an instance of Regression from the Json<wbr>Reader."
|
|
modifiers:
|
|
- "static"
|
|
parameters:
|
|
- description: "The JsonReader being read."
|
|
name: "jsonReader"
|
|
type: "<xref href=\"com.azure.json.JsonReader?alt=com.azure.json.JsonReader&text=JsonReader\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public static Regression fromJson(JsonReader jsonReader)"
|
|
exceptions:
|
|
- description: "If the deserialized JSON object was missing any required properties."
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/io/IOException.html\">IOException</a>"
|
|
desc: "Reads an instance of Regression from the JsonReader."
|
|
returns:
|
|
description: "An instance of Regression if the JsonReader was pointing to an instance of it, or null if it was pointing\n to JSON null."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.limitSettings()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.limitSettings()"
|
|
name: "limitSettings()"
|
|
nameWithType: "Regression.limitSettings()"
|
|
summary: "Get the limit<wbr>Settings property: Execution constraints for Auto<wbr>MLJob."
|
|
syntax: "public TableVerticalLimitSettings limitSettings()"
|
|
desc: "Get the limitSettings property: Execution constraints for AutoMLJob."
|
|
returns:
|
|
description: "the limitSettings value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings&text=TableVerticalLimitSettings\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.nCrossValidations()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.nCrossValidations()"
|
|
name: "nCrossValidations()"
|
|
nameWithType: "Regression.nCrossValidations()"
|
|
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."
|
|
syntax: "public NCrossValidations nCrossValidations()"
|
|
desc: "Get the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided."
|
|
returns:
|
|
description: "the nCrossValidations value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.NCrossValidations?alt=com.azure.resourcemanager.machinelearning.models.NCrossValidations&text=NCrossValidations\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.primaryMetric()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.primaryMetric()"
|
|
name: "primaryMetric()"
|
|
nameWithType: "Regression.primaryMetric()"
|
|
summary: "Get the primary<wbr>Metric property: Primary metric for regression task."
|
|
syntax: "public RegressionPrimaryMetrics primaryMetric()"
|
|
desc: "Get the primaryMetric property: Primary metric for regression task."
|
|
returns:
|
|
description: "the primaryMetric value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics?alt=com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics&text=RegressionPrimaryMetrics\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.taskType()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.taskType()"
|
|
name: "taskType()"
|
|
nameWithType: "Regression.taskType()"
|
|
summary: "Get the task<wbr>Type property: \\[Required\\] Task type for Auto<wbr>MLJob."
|
|
overridden: "com.azure.resourcemanager.machinelearning.models.AutoMLVertical.taskType()"
|
|
syntax: "public TaskType taskType()"
|
|
desc: "Get the taskType property: \\[Required\\] Task type for AutoMLJob."
|
|
returns:
|
|
description: "the taskType value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TaskType?alt=com.azure.resourcemanager.machinelearning.models.TaskType&text=TaskType\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.testData()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.testData()"
|
|
name: "testData()"
|
|
nameWithType: "Regression.testData()"
|
|
summary: "Get the test<wbr>Data property: Test data input."
|
|
syntax: "public MLTableJobInput testData()"
|
|
desc: "Get the testData property: Test data input."
|
|
returns:
|
|
description: "the testData value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.testDataSize()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.testDataSize()"
|
|
name: "testDataSize()"
|
|
nameWithType: "Regression.testDataSize()"
|
|
summary: "Get the test<wbr>Data<wbr>Size property: The fraction of test dataset that needs to be set aside for validation purpose."
|
|
syntax: "public Double testDataSize()"
|
|
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."
|
|
returns:
|
|
description: "the testDataSize value."
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.toJson(com.azure.json.JsonWriter)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.toJson(JsonWriter jsonWriter)"
|
|
name: "toJson(JsonWriter jsonWriter)"
|
|
nameWithType: "Regression.toJson(JsonWriter jsonWriter)"
|
|
overridden: "com.azure.resourcemanager.machinelearning.models.AutoMLVertical.toJson(com.azure.json.JsonWriter)"
|
|
parameters:
|
|
- name: "jsonWriter"
|
|
type: "<xref href=\"com.azure.json.JsonWriter?alt=com.azure.json.JsonWriter&text=JsonWriter\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public JsonWriter toJson(JsonWriter jsonWriter)"
|
|
exceptions:
|
|
- type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/io/IOException.html\">IOException</a>"
|
|
returns:
|
|
type: "<xref href=\"com.azure.json.JsonWriter?alt=com.azure.json.JsonWriter&text=JsonWriter\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.trainingSettings()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.trainingSettings()"
|
|
name: "trainingSettings()"
|
|
nameWithType: "Regression.trainingSettings()"
|
|
summary: "Get the training<wbr>Settings property: Inputs for training phase for an AutoML Job."
|
|
syntax: "public RegressionTrainingSettings trainingSettings()"
|
|
desc: "Get the trainingSettings property: Inputs for training phase for an AutoML Job."
|
|
returns:
|
|
description: "the trainingSettings value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings?alt=com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings&text=RegressionTrainingSettings\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.validate()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.validate()"
|
|
name: "validate()"
|
|
nameWithType: "Regression.validate()"
|
|
summary: "Validates the instance."
|
|
overridden: "com.azure.resourcemanager.machinelearning.models.AutoMLVertical.validate()"
|
|
syntax: "public void validate()"
|
|
desc: "Validates the instance."
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.validationData()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.validationData()"
|
|
name: "validationData()"
|
|
nameWithType: "Regression.validationData()"
|
|
summary: "Get the validation<wbr>Data property: Validation data inputs."
|
|
syntax: "public MLTableJobInput validationData()"
|
|
desc: "Get the validationData property: Validation data inputs."
|
|
returns:
|
|
description: "the validationData value."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.validationDataSize()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.validationDataSize()"
|
|
name: "validationDataSize()"
|
|
nameWithType: "Regression.validationDataSize()"
|
|
summary: "Get the validation<wbr>Data<wbr>Size property: The fraction of training dataset that needs to be set aside for validation purpose."
|
|
syntax: "public Double validationDataSize()"
|
|
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."
|
|
returns:
|
|
description: "the validationDataSize value."
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.weightColumnName()"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.weightColumnName()"
|
|
name: "weightColumnName()"
|
|
nameWithType: "Regression.weightColumnName()"
|
|
summary: "Get the weight<wbr>Column<wbr>Name property: The name of the sample weight column."
|
|
syntax: "public String weightColumnName()"
|
|
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."
|
|
returns:
|
|
description: "the weightColumnName value."
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withCvSplitColumnNames(java.util.List<java.lang.String>)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withCvSplitColumnNames(List<String> cvSplitColumnNames)"
|
|
name: "withCvSplitColumnNames(List<String> cvSplitColumnNames)"
|
|
nameWithType: "Regression.withCvSplitColumnNames(List<String> cvSplitColumnNames)"
|
|
summary: "Set the cv<wbr>Split<wbr>Column<wbr>Names property: Columns to use for CVSplit data."
|
|
parameters:
|
|
- description: "the cvSplitColumnNames value to set."
|
|
name: "cvSplitColumnNames"
|
|
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>>"
|
|
syntax: "public Regression withCvSplitColumnNames(List<String> cvSplitColumnNames)"
|
|
desc: "Set the cvSplitColumnNames property: Columns to use for CVSplit data."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withFeaturizationSettings(com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
|
|
name: "withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
|
|
nameWithType: "Regression.withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
|
|
summary: "Set the featurization<wbr>Settings property: Featurization inputs needed for AutoML job."
|
|
parameters:
|
|
- description: "the featurizationSettings value to set."
|
|
name: "featurizationSettings"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalFeaturizationSettings&text=TableVerticalFeaturizationSettings\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withFeaturizationSettings(TableVerticalFeaturizationSettings featurizationSettings)"
|
|
desc: "Set the featurizationSettings property: Featurization inputs needed for AutoML job."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withLimitSettings(com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withLimitSettings(TableVerticalLimitSettings limitSettings)"
|
|
name: "withLimitSettings(TableVerticalLimitSettings limitSettings)"
|
|
nameWithType: "Regression.withLimitSettings(TableVerticalLimitSettings limitSettings)"
|
|
summary: "Set the limit<wbr>Settings property: Execution constraints for Auto<wbr>MLJob."
|
|
parameters:
|
|
- description: "the limitSettings value to set."
|
|
name: "limitSettings"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings?alt=com.azure.resourcemanager.machinelearning.models.TableVerticalLimitSettings&text=TableVerticalLimitSettings\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withLimitSettings(TableVerticalLimitSettings limitSettings)"
|
|
desc: "Set the limitSettings property: Execution constraints for AutoMLJob."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withLogVerbosity(com.azure.resourcemanager.machinelearning.models.LogVerbosity)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withLogVerbosity(LogVerbosity logVerbosity)"
|
|
name: "withLogVerbosity(LogVerbosity logVerbosity)"
|
|
nameWithType: "Regression.withLogVerbosity(LogVerbosity logVerbosity)"
|
|
summary: "Set the log<wbr>Verbosity property: Log verbosity for the job."
|
|
overridden: "com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withLogVerbosity(com.azure.resourcemanager.machinelearning.models.LogVerbosity)"
|
|
parameters:
|
|
- name: "logVerbosity"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.LogVerbosity?alt=com.azure.resourcemanager.machinelearning.models.LogVerbosity&text=LogVerbosity\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withLogVerbosity(LogVerbosity logVerbosity)"
|
|
desc: "Set the logVerbosity property: Log verbosity for the job."
|
|
returns:
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withNCrossValidations(com.azure.resourcemanager.machinelearning.models.NCrossValidations)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withNCrossValidations(NCrossValidations nCrossValidations)"
|
|
name: "withNCrossValidations(NCrossValidations nCrossValidations)"
|
|
nameWithType: "Regression.withNCrossValidations(NCrossValidations nCrossValidations)"
|
|
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."
|
|
parameters:
|
|
- description: "the nCrossValidations value to set."
|
|
name: "nCrossValidations"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.NCrossValidations?alt=com.azure.resourcemanager.machinelearning.models.NCrossValidations&text=NCrossValidations\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withNCrossValidations(NCrossValidations nCrossValidations)"
|
|
desc: "Set the nCrossValidations property: Number of cross validation folds to be applied on training dataset when validation dataset is not provided."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withPrimaryMetric(com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withPrimaryMetric(RegressionPrimaryMetrics primaryMetric)"
|
|
name: "withPrimaryMetric(RegressionPrimaryMetrics primaryMetric)"
|
|
nameWithType: "Regression.withPrimaryMetric(RegressionPrimaryMetrics primaryMetric)"
|
|
summary: "Set the primary<wbr>Metric property: Primary metric for regression task."
|
|
parameters:
|
|
- description: "the primaryMetric value to set."
|
|
name: "primaryMetric"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics?alt=com.azure.resourcemanager.machinelearning.models.RegressionPrimaryMetrics&text=RegressionPrimaryMetrics\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withPrimaryMetric(RegressionPrimaryMetrics primaryMetric)"
|
|
desc: "Set the primaryMetric property: Primary metric for regression task."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withTargetColumnName(java.lang.String)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withTargetColumnName(String targetColumnName)"
|
|
name: "withTargetColumnName(String targetColumnName)"
|
|
nameWithType: "Regression.withTargetColumnName(String targetColumnName)"
|
|
summary: "Set the target<wbr>Column<wbr>Name property: Target column name: This is prediction values column."
|
|
overridden: "com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withTargetColumnName(java.lang.String)"
|
|
parameters:
|
|
- name: "targetColumnName"
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
|
|
syntax: "public Regression withTargetColumnName(String targetColumnName)"
|
|
desc: "Set the targetColumnName property: Target column name: This is prediction values column. Also known as label column name in context of classification tasks."
|
|
returns:
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withTestData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withTestData(MLTableJobInput testData)"
|
|
name: "withTestData(MLTableJobInput testData)"
|
|
nameWithType: "Regression.withTestData(MLTableJobInput testData)"
|
|
summary: "Set the test<wbr>Data property: Test data input."
|
|
parameters:
|
|
- description: "the testData value to set."
|
|
name: "testData"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withTestData(MLTableJobInput testData)"
|
|
desc: "Set the testData property: Test data input."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withTestDataSize(java.lang.Double)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withTestDataSize(Double testDataSize)"
|
|
name: "withTestDataSize(Double testDataSize)"
|
|
nameWithType: "Regression.withTestDataSize(Double testDataSize)"
|
|
summary: "Set the test<wbr>Data<wbr>Size property: The fraction of test dataset that needs to be set aside for validation purpose."
|
|
parameters:
|
|
- description: "the testDataSize value to set."
|
|
name: "testDataSize"
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
|
|
syntax: "public Regression withTestDataSize(Double testDataSize)"
|
|
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."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withTrainingData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withTrainingData(MLTableJobInput trainingData)"
|
|
name: "withTrainingData(MLTableJobInput trainingData)"
|
|
nameWithType: "Regression.withTrainingData(MLTableJobInput trainingData)"
|
|
summary: "Set the training<wbr>Data property: \\[Required\\] Training data input."
|
|
overridden: "com.azure.resourcemanager.machinelearning.models.AutoMLVertical.withTrainingData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)"
|
|
parameters:
|
|
- name: "trainingData"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withTrainingData(MLTableJobInput trainingData)"
|
|
desc: "Set the trainingData property: \\[Required\\] Training data input."
|
|
returns:
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withTrainingSettings(com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withTrainingSettings(RegressionTrainingSettings trainingSettings)"
|
|
name: "withTrainingSettings(RegressionTrainingSettings trainingSettings)"
|
|
nameWithType: "Regression.withTrainingSettings(RegressionTrainingSettings trainingSettings)"
|
|
summary: "Set the training<wbr>Settings property: Inputs for training phase for an AutoML Job."
|
|
parameters:
|
|
- description: "the trainingSettings value to set."
|
|
name: "trainingSettings"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings?alt=com.azure.resourcemanager.machinelearning.models.RegressionTrainingSettings&text=RegressionTrainingSettings\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withTrainingSettings(RegressionTrainingSettings trainingSettings)"
|
|
desc: "Set the trainingSettings property: Inputs for training phase for an AutoML Job."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withValidationData(com.azure.resourcemanager.machinelearning.models.MLTableJobInput)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withValidationData(MLTableJobInput validationData)"
|
|
name: "withValidationData(MLTableJobInput validationData)"
|
|
nameWithType: "Regression.withValidationData(MLTableJobInput validationData)"
|
|
summary: "Set the validation<wbr>Data property: Validation data inputs."
|
|
parameters:
|
|
- description: "the validationData value to set."
|
|
name: "validationData"
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.MLTableJobInput?alt=com.azure.resourcemanager.machinelearning.models.MLTableJobInput&text=MLTableJobInput\" data-throw-if-not-resolved=\"False\" />"
|
|
syntax: "public Regression withValidationData(MLTableJobInput validationData)"
|
|
desc: "Set the validationData property: Validation data inputs."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withValidationDataSize(java.lang.Double)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withValidationDataSize(Double validationDataSize)"
|
|
name: "withValidationDataSize(Double validationDataSize)"
|
|
nameWithType: "Regression.withValidationDataSize(Double validationDataSize)"
|
|
summary: "Set the validation<wbr>Data<wbr>Size property: The fraction of training dataset that needs to be set aside for validation purpose."
|
|
parameters:
|
|
- description: "the validationDataSize value to set."
|
|
name: "validationDataSize"
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/Double.html\">Double</a>"
|
|
syntax: "public Regression withValidationDataSize(Double validationDataSize)"
|
|
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."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
- uid: "com.azure.resourcemanager.machinelearning.models.Regression.withWeightColumnName(java.lang.String)"
|
|
fullName: "com.azure.resourcemanager.machinelearning.models.Regression.withWeightColumnName(String weightColumnName)"
|
|
name: "withWeightColumnName(String weightColumnName)"
|
|
nameWithType: "Regression.withWeightColumnName(String weightColumnName)"
|
|
summary: "Set the weight<wbr>Column<wbr>Name property: The name of the sample weight column."
|
|
parameters:
|
|
- description: "the weightColumnName value to set."
|
|
name: "weightColumnName"
|
|
type: "<a href=\"https://docs.oracle.com/javase/8/docs/api/java/lang/String.html\">String</a>"
|
|
syntax: "public Regression withWeightColumnName(String weightColumnName)"
|
|
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."
|
|
returns:
|
|
description: "the Regression object itself."
|
|
type: "<xref href=\"com.azure.resourcemanager.machinelearning.models.Regression?alt=com.azure.resourcemanager.machinelearning.models.Regression&text=Regression\" data-throw-if-not-resolved=\"False\" />"
|
|
type: "class"
|
|
desc: "Regression task in AutoML Table vertical."
|
|
metadata: {}
|
|
package: "com.azure.resourcemanager.machinelearning.models"
|
|
artifact: com.azure.resourcemanager:azure-resourcemanager-machinelearning:1.1.0
|