org.nd4j.linalg.dataset.api.preprocessor.stats

Class MinMaxStats.Builder

java.lang.Object

org.nd4j.linalg.dataset.api.preprocessor.stats.MinMaxStats.Builder

All Implemented Interfaces:

NormalizerStats.Builder<MinMaxStats>

Enclosing class:

MinMaxStats

public static class MinMaxStats.Builder
extends Object
implements NormalizerStats.Builder<MinMaxStats>

DynamicCustomOpsBuilder class that can incrementally update a running lower and upper bound in order to create statistics for a large set of data

Constructor Summary

Constructors

Constructor and Description
Builder()

Method Summary

Modifier and Type	Method and Description
MinMaxStats.Builder	add(@NonNull INDArray data, INDArray mask) Add rows of data to the statistics
MinMaxStats.Builder	addFeatures(DataSet dataSet) Add the features of a DataSet to the statistics
MinMaxStats.Builder	addLabels(DataSet dataSet) Add the labels of a DataSet to the statistics
MinMaxStats	build() Create a DistributionStats object from the data ingested so far.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Builder

public Builder()

Method Detail

addFeatures

public MinMaxStats.Builder addFeatures(@NonNull
                                       DataSet dataSet)

Add the features of a DataSet to the statistics

Specified by:

addFeatures in interface NormalizerStats.Builder<MinMaxStats>

addLabels

public MinMaxStats.Builder addLabels(@NonNull
                                     DataSet dataSet)

Add the labels of a DataSet to the statistics

Specified by:

addLabels in interface NormalizerStats.Builder<MinMaxStats>

add

public MinMaxStats.Builder add(@NonNull
                               @NonNull INDArray data,
                               INDArray mask)

Add rows of data to the statistics

Specified by:

add in interface NormalizerStats.Builder<MinMaxStats>

Parameters:

data - the matrix containing multiple rows of data to include

mask - (optionally) the mask of the data, useful for e.g. time series

build

public MinMaxStats build()

Create a DistributionStats object from the data ingested so far. Can be used multiple times when updating online.

Specified by:

build in interface NormalizerStats.Builder<MinMaxStats>

Returns: