org.apache.ignite.ml.dataset.primitive

Class SimpleDataset<C extends Serializable>

java.lang.Object

org.apache.ignite.ml.dataset.primitive.DatasetWrapper<C,SimpleDatasetData>

org.apache.ignite.ml.dataset.primitive.SimpleDataset<C>

Type Parameters:

C - Type of a partition context.

All Implemented Interfaces:

AutoCloseable, Dataset<C,SimpleDatasetData>

public class SimpleDataset<C extends Serializable>
extends DatasetWrapper<C,SimpleDatasetData>

A simple dataset introduces additional methods based on a matrix of features.

Field Summary

Fields inherited from class org.apache.ignite.ml.dataset.primitive.DatasetWrapper

delegate

Constructor Summary

Constructors

Constructor and Description
SimpleDataset(Dataset<C,SimpleDatasetData> delegate) Creates a new instance of simple dataset that introduces additional methods based on a matrix of features.

Method Summary

Modifier and Type	Method and Description
double[][]	corr() Calculates correlation matrix by all columns.
double[][]	cov() Calculates covariance matrix by all columns.
double[]	mean() Calculates mean value by all columns.
double[]	std() Calculates standard deviation by all columns.

Methods inherited from class org.apache.ignite.ml.dataset.primitive.DatasetWrapper

close, compute, computeWithCtx

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.apache.ignite.ml.dataset.Dataset

compute, compute, compute, compute, compute, computeWithCtx, computeWithCtx, computeWithCtx, computeWithCtx, computeWithCtx, wrap

Constructor Detail

SimpleDataset

public SimpleDataset(Dataset<C,SimpleDatasetData> delegate)

Creates a new instance of simple dataset that introduces additional methods based on a matrix of features.

Parameters:

delegate - Delegate that performs compute actions.

Method Detail

mean

public double[] mean()

Calculates mean value by all columns.

Returns:

Mean values.

std

public double[] std()

Calculates standard deviation by all columns.

Returns:

Standard deviations.

cov

public double[][] cov()

Calculates covariance matrix by all columns.

Returns:

Covariance matrix.

corr

public double[][] corr()

Calculates correlation matrix by all columns.

Returns:

Correlation matrix.