LearningPipelineExtensions.Append Method

Definition

Overloads

Append<TSource,TTrans>(IDataLoader<TSource>, IEstimator<TTrans>)

Create a new composite loader estimator, by appending an estimator to this data loader.

Append<TSource,TTrans>(IDataLoader<TSource>, TTrans)

Create a new composite loader, by appending a transformer to this data loader.

Append<TSource,TTrans>(IDataLoaderEstimator<TSource,IDataLoader<TSource>>, IEstimator<TTrans>)

Create a new composite loader estimator, by appending another estimator to the end of this data loader estimator.

Append<TTrans>(ITransformer, TTrans)

Create a new transformer chain, by appending another transformer to the end of this transformer chain.

Append<TTrans>(IEstimator<ITransformer>, IEstimator<TTrans>, TransformerScope)

Create a new estimator chain, by appending another estimator to the end of this estimator.

Append<TSource,TTrans>(IDataLoader<TSource>, IEstimator<TTrans>)

Create a new composite loader estimator, by appending an estimator to this data loader.

public static Microsoft.ML.Data.CompositeLoaderEstimator<TSource,TTrans> Append<TSource,TTrans> (this Microsoft.ML.IDataLoader<TSource> start, Microsoft.ML.IEstimator<TTrans> estimator) where TTrans : class, Microsoft.ML.ITransformer;
static member Append : Microsoft.ML.IDataLoader<'Source> * Microsoft.ML.IEstimator<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> -> Microsoft.ML.Data.CompositeLoaderEstimator<'Source, 'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)
<Extension()>
Public Function Append(Of TSource, TTrans) (start As IDataLoader(Of TSource), estimator As IEstimator(Of TTrans)) As CompositeLoaderEstimator(Of TSource, TTrans)

Type Parameters

TSource
TTrans

Parameters

estimator
IEstimator<TTrans>

Returns

CompositeLoaderEstimator<TSource,TTrans>

Append<TSource,TTrans>(IDataLoader<TSource>, TTrans)

Create a new composite loader, by appending a transformer to this data loader.

public static Microsoft.ML.Data.CompositeDataLoader<TSource,TTrans> Append<TSource,TTrans> (this Microsoft.ML.IDataLoader<TSource> loader, TTrans transformer) where TTrans : class, Microsoft.ML.ITransformer;
static member Append : Microsoft.ML.IDataLoader<'Source> * 'rans -> Microsoft.ML.Data.CompositeDataLoader<'Source, 'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)
<Extension()>
Public Function Append(Of TSource, TTrans) (loader As IDataLoader(Of TSource), transformer As TTrans) As CompositeDataLoader(Of TSource, TTrans)

Type Parameters

TSource
TTrans

Parameters

transformer
TTrans

Returns

CompositeDataLoader<TSource,TTrans>

Append<TSource,TTrans>(IDataLoaderEstimator<TSource,IDataLoader<TSource>>, IEstimator<TTrans>)

Create a new composite loader estimator, by appending another estimator to the end of this data loader estimator.

public static Microsoft.ML.Data.CompositeLoaderEstimator<TSource,TTrans> Append<TSource,TTrans> (this Microsoft.ML.IDataLoaderEstimator<TSource,Microsoft.ML.IDataLoader<TSource>> start, Microsoft.ML.IEstimator<TTrans> estimator) where TTrans : class, Microsoft.ML.ITransformer;
static member Append : Microsoft.ML.IDataLoaderEstimator<'Source, Microsoft.ML.IDataLoader<'Source>> * Microsoft.ML.IEstimator<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> -> Microsoft.ML.Data.CompositeLoaderEstimator<'Source, 'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)
<Extension()>
Public Function Append(Of TSource, TTrans) (start As IDataLoaderEstimator(Of TSource, IDataLoader(Of TSource)), estimator As IEstimator(Of TTrans)) As CompositeLoaderEstimator(Of TSource, TTrans)

Type Parameters

TSource
TTrans

Parameters

start
IDataLoaderEstimator<TSource,IDataLoader<TSource>>
estimator
IEstimator<TTrans>

Returns

CompositeLoaderEstimator<TSource,TTrans>

Append<TTrans>(ITransformer, TTrans)

Create a new transformer chain, by appending another transformer to the end of this transformer chain.

public static Microsoft.ML.Data.TransformerChain<TTrans> Append<TTrans> (this Microsoft.ML.ITransformer start, TTrans transformer) where TTrans : class, Microsoft.ML.ITransformer;
static member Append : Microsoft.ML.ITransformer * 'rans -> Microsoft.ML.Data.TransformerChain<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)
<Extension()>
Public Function Append(Of TTrans As {Class, ITransformer}) (start As ITransformer, transformer As TTrans) As TransformerChain(Of TTrans)

Type Parameters

TTrans

Parameters

start
ITransformer
transformer
TTrans

Returns

Append<TTrans>(IEstimator<ITransformer>, IEstimator<TTrans>, TransformerScope)

Create a new estimator chain, by appending another estimator to the end of this estimator.

public static Microsoft.ML.Data.EstimatorChain<TTrans> Append<TTrans> (this Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> start, Microsoft.ML.IEstimator<TTrans> estimator, Microsoft.ML.Data.TransformerScope scope = Microsoft.ML.Data.TransformerScope.Everything) where TTrans : class, Microsoft.ML.ITransformer;
static member Append : Microsoft.ML.IEstimator<Microsoft.ML.ITransformer> * Microsoft.ML.IEstimator<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> * Microsoft.ML.Data.TransformerScope -> Microsoft.ML.Data.EstimatorChain<'rans (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)> (requires 'rans : null and 'rans :> Microsoft.ML.ITransformer)
<Extension()>
Public Function Append(Of TTrans As {Class, ITransformer}) (start As IEstimator(Of ITransformer), estimator As IEstimator(Of TTrans), Optional scope As TransformerScope = Microsoft.ML.Data.TransformerScope.Everything) As EstimatorChain(Of TTrans)

Type Parameters

TTrans

Parameters

estimator
IEstimator<TTrans>

Returns

EstimatorChain<TTrans>

Applies to