LpNormNormalizingEstimatorBase Class

Definition

Namespace:

Microsoft.ML.Transforms

Assembly:

Microsoft.ML.Transforms.dll

Package:

Microsoft.ML v3.0.1

Base estimator class for LpNormNormalizingEstimator and GlobalContrastNormalizingEstimator normalizers.

public abstract class LpNormNormalizingEstimatorBase : Microsoft.ML.Data.TrivialEstimator<Microsoft.ML.Transforms.LpNormNormalizingTransformer>

type LpNormNormalizingEstimatorBase = class
    inherit TrivialEstimator<LpNormNormalizingTransformer>

Public MustInherit Class LpNormNormalizingEstimatorBase
Inherits TrivialEstimator(Of LpNormNormalizingTransformer)

Inheritance

Object

TrivialEstimator<LpNormNormalizingTransformer>

LpNormNormalizingEstimatorBase

Derived

Microsoft.ML.Transforms.GlobalContrastNormalizingEstimator

Microsoft.ML.Transforms.LpNormNormalizingEstimator

Methods

Fit(IDataView)	(Inherited from TrivialEstimator<TTransformer>)
GetOutputSchema(SchemaShape)	Returns the SchemaShape of the schema which will be produced by the transformer. Used for schema propagation and verification in a pipeline.

Extension Methods

AppendCacheCheckpoint<TTrans>(IEstimator<TTrans>, IHostEnvironment)

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.

WithOnFitDelegate<TTransformer>(IEstimator<TTransformer>, Action<TTransformer>)

Given an estimator, return a wrapping object that will call a delegate once Fit(IDataView) is called. It is often important for an estimator to return information about what was fit, which is why the Fit(IDataView) method returns a specifically typed object, rather than just a general ITransformer. However, at the same time, IEstimator<TTransformer> are often formed into pipelines with many objects, so we may need to build a chain of estimators via EstimatorChain<TLastTransformer> where the estimator for which we want to get the transformer is buried somewhere in this chain. For that scenario, we can through this method attach a delegate that will be called once fit is called.