hex.pca

Class PCA

java.lang.Object

water.Iced<T>

water.Keyed

water.Job<M>

hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

hex.pca.PCA

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable

public class PCA
extends hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

Quadratically Regularized PCA This is an algorithm for dimensionality reduction of numerical data. It is a general, parallelized implementation of PCA with quadratic regularization. Generalized Low Rank Models

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	PCA.Initialization

Nested classes/interfaces inherited from class hex.ModelBuilder

hex.ModelBuilder.BuilderVisibility, hex.ModelBuilder.ValidationMessage

Nested classes/interfaces inherited from class water.Job

water.Job.JobCancelledException, water.Job.JobState, water.Job.Progress, water.Job.ProgressUpdate

Field Summary

Fields inherited from class hex.ModelBuilder

_messages, _parms, _train, _valid

Fields inherited from class water.Job

_description, _dest, _end_time, _exception, _progressKey, _start_time, _state

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
PCA(PCAModel.PCAParameters parms)

Method Summary

Methods

Modifier and Type	Method and Description
hex.ModelBuilder.BuilderVisibility	builderVisibility()
hex.Model.ModelCategory[]	can_build()
protected void	checkMemoryFootPrint()
static double[][]	formGram(double[][] x)
static double[][]	formGram(double[][] x, boolean transpose) Given a n by k matrix X, form its Gram matrix
void	init(boolean expensive)
hex.schemas.ModelBuilderSchema	schema()
water.Job<PCAModel>	trainModel()

Methods inherited from class hex.ModelBuilder

clearInitState, createModelBuilder, error_count, error, getAlgo, getAlgo, getAlgo, getAlgoFullName, getModelBuilder, getModelBuilders, getModelClass, hide, info, registerModelBuilder, train, valid, validationErrors, warn

Methods inherited from class water.Job

cancel, cancel, checksum_impl, dest, done, failed, get, isCancelledOrCrashed, isDone, isRunning, isRunning, isStopped, jobs, msec, onCancelled, progress_msg, progress, remove_impl, start, update, update, update, update

Methods inherited from class water.Keyed

checksum, remove, remove, remove, remove

Methods inherited from class water.Iced

clone, frozenType, read_impl, read, readExternal, readJSON_impl, readJSON, toJsonString, write_impl, write, writeExternal, writeHTML_impl, writeHTML, writeJSON_impl, writeJSON

Methods inherited from class java.lang.Object

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

Constructor Detail

PCA

public PCA(PCAModel.PCAParameters parms)

Method Detail

schema

public hex.schemas.ModelBuilderSchema schema()

Specified by:

schema in class hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

trainModel

public water.Job<PCAModel> trainModel()

Specified by:

trainModel in class hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

can_build

public hex.Model.ModelCategory[] can_build()

Specified by:

can_build in class hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

builderVisibility

public hex.ModelBuilder.BuilderVisibility builderVisibility()

Specified by:

builderVisibility in class hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

checkMemoryFootPrint

protected void checkMemoryFootPrint()

Overrides:

checkMemoryFootPrint in class hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

init

public void init(boolean expensive)

Overrides:

init in class hex.ModelBuilder<PCAModel,PCAModel.PCAParameters,PCAModel.PCAOutput>

formGram

public static double[][] formGram(double[][] x,
                  boolean transpose)

Given a n by k matrix X, form its Gram matrix

Parameters:

x - Matrix of real numbers

transpose - If true, compute n by n Gram of rows = XX' If false, compute k by k Gram of cols = X'X

Returns:

A symmetric positive semi-definite Gram matrix

formGram

public static double[][] formGram(double[][] x)