MachineLearningStackEnsembleSettings Class

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.3.0

Package:: Azure.ResourceManager.MachineLearning v1.2.0-beta.3

Source:: MachineLearningStackEnsembleSettings.cs

Source:: MachineLearningStackEnsembleSettings.cs

Important

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

Advances setting to customize StackEnsemble run.

public class MachineLearningStackEnsembleSettings : System.ClientModel.Primitives.IJsonModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningStackEnsembleSettings>, System.ClientModel.Primitives.IPersistableModel<Azure.ResourceManager.MachineLearning.Models.MachineLearningStackEnsembleSettings>

public class MachineLearningStackEnsembleSettings

type MachineLearningStackEnsembleSettings = class
    interface IJsonModel<MachineLearningStackEnsembleSettings>
    interface IPersistableModel<MachineLearningStackEnsembleSettings>

type MachineLearningStackEnsembleSettings = class

Public Class MachineLearningStackEnsembleSettings
Implements IJsonModel(Of MachineLearningStackEnsembleSettings), IPersistableModel(Of MachineLearningStackEnsembleSettings)

Public Class MachineLearningStackEnsembleSettings

Inheritance: Object
MachineLearningStackEnsembleSettings

Implements: IJsonModel<MachineLearningStackEnsembleSettings> IPersistableModel<MachineLearningStackEnsembleSettings> IPersistableModel<T>

Constructors

Name	Description
MachineLearningStackEnsembleSettings()	Initializes a new instance of MachineLearningStackEnsembleSettings.

Properties

Name	Description
StackMetaLearnerKWargs	Optional parameters to pass to the initializer of the meta-learner. To assign an object to this property use FromObjectAsJson<T>(T, JsonSerializerOptions). To assign an already formatted json string to this property use FromString(String). Examples: BinaryData.FromObjectAsJson("foo"). : Creates a payload of "foo". BinaryData.FromString("\"foo\""). : Creates a payload of "foo". BinaryData.FromObjectAsJson(new { key = "value" }). : Creates a payload of { "key": "value" }. BinaryData.FromString("{\"key\": \"value\"}"). : Creates a payload of { "key": "value" }.
StackMetaLearnerTrainPercentage	Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2.
StackMetaLearnerType	The meta-learner is a model trained on the output of the individual heterogeneous models.\r\nDefault meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled).\r\nThis parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression.

Name

Description

StackMetaLearnerKWargs

Optional parameters to pass to the initializer of the meta-learner.

To assign an object to this property use FromObjectAsJson<T>(T, JsonSerializerOptions).

To assign an already formatted json string to this property use FromString(String).

Examples:

BinaryData.FromObjectAsJson("foo"). : Creates a payload of "foo".
BinaryData.FromString("\"foo\""). : Creates a payload of "foo".
BinaryData.FromObjectAsJson(new { key = "value" }). : Creates a payload of { "key": "value" }.
BinaryData.FromString("{\"key\": \"value\"}"). : Creates a payload of { "key": "value" }.

StackMetaLearnerTrainPercentage

Specifies the proportion of the training set (when choosing train and validation type of training) to be reserved for training the meta-learner. Default value is 0.2.

StackMetaLearnerType

The meta-learner is a model trained on the output of the individual heterogeneous models.\r\nDefault meta-learners are LogisticRegression for classification tasks (or LogisticRegressionCV if cross-validation is enabled) and ElasticNet for regression/forecasting tasks (or ElasticNetCV if cross-validation is enabled).\r\nThis parameter can be one of the following strings: LogisticRegression, LogisticRegressionCV, LightGBMClassifier, ElasticNet, ElasticNetCV, LightGBMRegressor, or LinearRegression.

Methods

Name	Description
JsonModelCreateCore(Utf8JsonReader, ModelReaderWriterOptions)
JsonModelWriteCore(Utf8JsonWriter, ModelReaderWriterOptions)
PersistableModelCreateCore(BinaryData, ModelReaderWriterOptions)
PersistableModelWriteCore(ModelReaderWriterOptions)

Explicit Interface Implementations

Name	Description
IJsonModel<MachineLearningStackEnsembleSettings>.Create(Utf8JsonReader, ModelReaderWriterOptions)	Reads one JSON value (including objects or arrays) from the provided reader and converts it to a model.
IJsonModel<MachineLearningStackEnsembleSettings>.Write(Utf8JsonWriter, ModelReaderWriterOptions)	Writes the model to the provided Utf8JsonWriter.
IPersistableModel<MachineLearningStackEnsembleSettings>.Create(BinaryData, ModelReaderWriterOptions)	Converts the provided BinaryData into a model.
IPersistableModel<MachineLearningStackEnsembleSettings>.GetFormatFromOptions(ModelReaderWriterOptions)	Gets the data interchange format (JSON, Xml, etc) that the model uses when communicating with the service.
IPersistableModel<MachineLearningStackEnsembleSettings>.Write(ModelReaderWriterOptions)	Writes the model into a BinaryData.

Applies to

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