LearningPipelineExtensions.AppendCacheCheckpoint<TTrans> Method

Reference

Definition

Namespace:: Microsoft.ML

Assembly:: Microsoft.ML.Data.dll

Package:: Microsoft.ML v3.0.1

Package:: Microsoft.ML v1.0.0

Package:: Microsoft.ML v1.1.0

Package:: Microsoft.ML v1.2.0

Package:: Microsoft.ML v1.3.1

Package:: Microsoft.ML v1.4.0

Package:: Microsoft.ML v1.5.5

Package:: Microsoft.ML v1.6.0

Package:: Microsoft.ML v1.7.0

Package:: Microsoft.ML v2.0.0

Important

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Append a 'caching checkpoint' to the estimator chain. This will ensure that the downstream estimators will be trained against cached data. It is helpful to have a caching checkpoint before trainers that take multiple data passes.

public static Microsoft.ML.Data.EstimatorChain<TTrans> AppendCacheCheckpoint<TTrans> (this Microsoft.ML.IEstimator<TTrans> start, Microsoft.ML.Runtime.IHostEnvironment env) where TTrans : class, Microsoft.ML.ITransformer;

static member AppendCacheCheckpoint : Microsoft.ML.IEstimator<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> * Microsoft.ML.Runtime.IHostEnvironment -> Microsoft.ML.Data.EstimatorChain<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)

<Extension()>
Public Function AppendCacheCheckpoint(Of TTrans As {Class, ITransformer}) (start As IEstimator(Of TTrans), env As IHostEnvironment) As EstimatorChain(Of TTrans)

Type Parameters

TTrans

Parameters

start: IEstimator<TTrans>

The starting estimator

env: IHostEnvironment

The host environment to use for caching.

Returns

EstimatorChain<TTrans>

Applies to

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