org.apache.ignite.ml.preprocessing.imputing

Class ImputerPartitionData

java.lang.Object

org.apache.ignite.ml.preprocessing.imputing.ImputerPartitionData

All Implemented Interfaces:

AutoCloseable

public class ImputerPartitionData
extends Object
implements AutoCloseable

Partition data used in imputing preprocessor.

See Also:

ImputerTrainer, ImputerPreprocessor

Constructor Summary

Constructors

Constructor and Description
ImputerPartitionData() Constructs a new instance of imputing partition data.

Method Summary

Modifier and Type	Method and Description
void	close()
int[]	counts() Gets the array of amounts of values in partition for each feature in the dataset.
double[]	sums() Gets the array of sums of values in partition for each feature in the dataset.
Map<Double,Integer>[]	valuesByFrequency() Gets the array of maps of frequencies by value in partition for each feature in the dataset.
ImputerPartitionData	withCounts(int[] counts) Sets the array of amounts of values in partition for each feature in the dataset.
ImputerPartitionData	withSums(double[] sums) Sets the array of sums of values in partition for each feature in the dataset.
ImputerPartitionData	withValuesByFrequency(Map<Double,Integer>[] valuesByFreq) Sets the array of maps of frequencies by value in partition for each feature in the dataset.

Methods inherited from class java.lang.Object

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

Constructor Detail

ImputerPartitionData

public ImputerPartitionData()

Constructs a new instance of imputing partition data.

Method Detail

sums

public double[] sums()

Gets the array of sums of values in partition for each feature in the dataset.

Returns:

The sums.

withSums

public ImputerPartitionData withSums(double[] sums)

Sets the array of sums of values in partition for each feature in the dataset.

Parameters:

sums - The given value.

Returns:

The partition data.

withCounts

public ImputerPartitionData withCounts(int[] counts)

Sets the array of amounts of values in partition for each feature in the dataset.

Parameters:

counts - The given value.

Returns:

The partition data.

counts

public int[] counts()

Gets the array of amounts of values in partition for each feature in the dataset.

Returns:

The counts.

valuesByFrequency

public Map<Double,Integer>[] valuesByFrequency()

Gets the array of maps of frequencies by value in partition for each feature in the dataset.

Returns:

The frequencies.

withValuesByFrequency

public ImputerPartitionData withValuesByFrequency(Map<Double,Integer>[] valuesByFreq)

Sets the array of maps of frequencies by value in partition for each feature in the dataset.

Parameters:

valuesByFreq - The given value.

Returns:

The partition data.

close

public void close()

Specified by:

close in interface AutoCloseable