MLContext Class

Definition

Namespace:

Microsoft.ML

Assembly:

Microsoft.ML.Data.dll

Package:

Microsoft.ML v4.0.0-preview.24522.7

Source:

MLContext.cs

Represents the common context for all ML.NET operations.

public sealed class MLContext

type MLContext = class
    interface IHostEnvironment
    interface IChannelProvider
    interface IExceptionContext
    interface IProgressChannelProvider

Public NotInheritable Class MLContext

Inheritance

Object

MLContext

Implements

IChannelProvider IExceptionContext IHostEnvironment IProgressChannelProvider

Remarks

Once instantiated by the user, this class provides a way to create components for data preparation, feature engineering, training, prediction, and model evaluation. It also allows logging, execution control, and the ability to set repeatable random numbers.

Constructors

MLContext(Nullable<Int32>)

Create the ML context.

Properties

AnomalyDetection	Gets the trainers and tasks specific to anomaly detection problems.
BinaryClassification	Gets the trainers and tasks specific to binary classification problems.
Clustering	Gets the trainers and tasks specific to clustering problems.
ComponentCatalog	Gets the catalog of components that will be used for model loading.
Data	Gets the data loading and saving operations.
FallbackToCpu	Gets or sets a value that indicates whether the CPU will be used if the task couldn't run on GPU.
Forecasting	Gets the trainers and tasks specific to forecasting problems.
GpuDeviceId	Gets or sets the GPU device ID to run execution on, null to run on CPU.
Model	Gets the operations with trained models.
MulticlassClassification	Gets the trainers and tasks specific to multiclass classification problems.
Ranking	Gets the trainers and tasks specific to ranking problems.
Regression	Gets the trainers and tasks specific to regression problems.
TempFilePath	Gets or sets the location for the temp files created by ML.NET.
Transforms	Gets the data processing operations.

Methods

GetOptionOrDefault<T>(String)

RemoveOption(String)

SetOption<T>(String, T)

TryAddOption<T>(String, T)

TryGetOption<T>(String, T)

Events

Log	Represents the callback method that will handle the log messages.

Explicit Interface Implementations

IChannelProvider.Start(String)

IChannelProvider.StartPipe<TMessage>(String)

IExceptionContext.ContextDescription

IExceptionContext.Process<TException>(TException)

IHostEnvironment.Register(String, Nullable<Int32>, Nullable<Boolean>)

IProgressChannelProvider.StartProgressChannel(String)

Extension Methods

Auto(MLContext)	Returns a catalog of all possible AutoML operations.
CancelExecution(MLContext)	Stop the execution of pipeline in MLContext
Recommendation(MLContext)	Trainers and tasks specific to recommendation problems.