PrincipalComponentAnalysisTransformer Class

Definition

Namespace:

Microsoft.ML.Transforms

Assembly:

Microsoft.ML.PCA.dll

Package:

Microsoft.ML v5.0.0-preview.1.25125.4

Source:

PcaTransformer.cs

PCA is a dimensionality-reduction transform which computes the projection of the feature vector onto a low-rank subspace.

C#

public sealed class PrincipalComponentAnalysisTransformer : Microsoft.ML.Data.OneToOneTransformerBase

Inheritance

Object

RowToRowTransformerBase

OneToOneTransformerBase

PrincipalComponentAnalysisTransformer

Remarks

Principle Component Analysis (PCA) is a dimensionality-reduction algorithm which computes the projection of the feature vector to onto a low-rank subspace. Its training is done using the technique described in the paper: Combining Structured and Unstructured Randomness in Large Scale PCA, and the paper Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions

For more information, see also:

• Randomized Methods for Computing the Singular Value Decomposition (SVD) of very large matrices
• A randomized algorithm for principal component analysis
• Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions

Methods

GetOutputSchema(DataViewSchema)	(Inherited from RowToRowTransformerBase)
Transform(IDataView)	(Inherited from RowToRowTransformerBase)

Explicit Interface Implementations

ICanSaveModel.Save(ModelSaveContext)	(Inherited from RowToRowTransformerBase)
ITransformer.GetRowToRowMapper(DataViewSchema)	(Inherited from RowToRowTransformerBase)
ITransformer.IsRowToRowMapper	(Inherited from RowToRowTransformerBase)

Extension Methods

Preview(ITransformer, IDataView, Int32)	Preview an effect of the transformer on a given data.
GetColumnPairs(OneToOneTransformerBase)	Returns the names of the input-output column pairs on which the transformation is applied.
Append<TTrans>(ITransformer, TTrans)	Create a new transformer chain, by appending another transformer to the end of this transformer chain.
CreateTimeSeriesEngine<TSrc,TDst>(ITransformer, IHostEnvironment, PredictionEngineOptions)	TimeSeriesPredictionEngine<TSrc,TDst> creates a prediction engine for a time series pipeline. It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.
CreateTimeSeriesEngine<TSrc,TDst>(ITransformer, IHostEnvironment, Boolean, SchemaDefinition, SchemaDefinition)	TimeSeriesPredictionEngine<TSrc,TDst> creates a prediction engine for a time series pipeline. It updates the state of time series model with observations seen at prediction phase and allows checkpointing the model.

Applies to