MachineLearningForecasting Class

Reference

Definition

Namespace:: Azure.ResourceManager.MachineLearning.Models

Assembly:: Azure.ResourceManager.MachineLearning.dll

Package:: Azure.ResourceManager.MachineLearning v1.2.1

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

Source:: MachineLearningForecasting.cs

Source:: MachineLearningForecasting.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.

Forecasting task in AutoML Table vertical.

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

public class MachineLearningForecasting : Azure.ResourceManager.MachineLearning.Models.AutoMLVertical

type MachineLearningForecasting = class
    inherit AutoMLVertical
    interface IJsonModel<MachineLearningForecasting>
    interface IPersistableModel<MachineLearningForecasting>

type MachineLearningForecasting = class
    inherit AutoMLVertical

Public Class MachineLearningForecasting
Inherits AutoMLVertical
Implements IJsonModel(Of MachineLearningForecasting), IPersistableModel(Of MachineLearningForecasting)

Public Class MachineLearningForecasting
Inherits AutoMLVertical

Inheritance: Object

AutoMLVertical
MachineLearningForecasting

Implements: IJsonModel<MachineLearningForecasting> IPersistableModel<MachineLearningForecasting> IPersistableModel<T>

Constructors

MachineLearningForecasting(MachineLearningTableJobInput)

Initializes a new instance of MachineLearningForecasting.

Properties

CvSplitColumnNames	Columns to use for CVSplit data.
FeaturizationSettings	Featurization inputs needed for AutoML job.
FixedParameters	Model/training parameters that will remain constant throughout training.
ForecastingSettings	Forecasting task specific inputs.
LimitSettings	Execution constraints for AutoMLJob.
LogVerbosity	Log verbosity for the job. (Inherited from AutoMLVertical)
NCrossValidations	Number of cross validation folds to be applied on training dataset when validation dataset is not provided. Please note NCrossValidations is the base class. According to the scenario, a derived class of the base class might need to be assigned here, or this property needs to be casted to one of the possible derived classes. The available derived classes include AutoNCrossValidations and CustomNCrossValidations.
PrimaryMetric	Primary metric for forecasting task.
SearchSpace	Search space for sampling different combinations of models and their hyperparameters.
SweepSettings	Settings for model sweeping and hyperparameter tuning.
TargetColumnName	Target column name: This is prediction values column. Also known as label column name in context of classification tasks. (Inherited from AutoMLVertical)
TestData	Test data input.
TestDataSize	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.
TrainingData	[Required] Training data input. (Inherited from AutoMLVertical)
TrainingSettings	Inputs for training phase for an AutoML Job.
ValidationData	Validation data inputs.
ValidationDataSize	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.
WeightColumnName	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.

Explicit Interface Implementations

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

Applies to

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