LearningPipelineExtensions.AppendCacheCheckpoint<TTrans> Method
Definition
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>