hex.genmodel.algos.pca

Class PCAMojoModel

java.lang.Object

hex.genmodel.GenModel

hex.genmodel.MojoModel

hex.genmodel.algos.pca.PCAMojoModel

All Implemented Interfaces:

IGenModel, java.io.Serializable, IGeneratedModel

public class PCAMojoModel
extends MojoModel

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
int[]	_catOffsets
int	_eigenVectorSize
int	_k
int	_ncats
int	_nnums
double[]	_normMul
double[]	_normSub
java.lang.String	_pca_impl
java.lang.String	_pca_method
int[]	_permutation
boolean	_use_all_factor_levels

Fields inherited from class hex.genmodel.MojoModel

_algoName, _balanceClasses, _category, _defaultThreshold, _h2oVersion, _modelAttributes, _modelClassDistrib, _modelDescriptor, _mojo_version, _nclasses, _nfeatures, _priorClassDistrib, _reproducibilityInformation, _supervised, _uuid

Fields inherited from class hex.genmodel.GenModel

_domains, _names, _offsetColumn, _responseColumn, _treatmentColumn

Constructor Summary

Constructors

Constructor and Description
PCAMojoModel(java.lang.String[] columns, java.lang.String[][] domains, java.lang.String responseColumn)

Method Summary

Modifier and Type	Method and Description
java.lang.String[]	getOutputNames()
int	getPredsSize() Returns the expected size of preds array which is passed to `predict(double[], double[])` function.
int	nclasses() Returns number of output classes for classifiers, 1 for regression models, and 0 for unsupervised models.
double[]	score0(double[] row, double[] preds) Subclasses implement the scoring logic.

Methods inherited from class hex.genmodel.MojoModel

getModelCategory, getUUID, isSupervised, load, load, load, nfeatures

Methods inherited from class hex.genmodel.GenModel

bitSetContains, bitSetIsInRange, calibrateClassProbabilities, convertDouble2Float, correctProbabilities, createAuxKey, features, GBM_rescale, getCategoricalEncoding, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getOffsetName, getOrigDomainValues, getOrigNames, getOrigNumCols, getOrigProjectionArray, getOutputDomains, getPrediction, getPredictionBinomial, getPredictionMultinomial, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_ologitInv, GLM_tweedieInv, img2pixels, internal_threadSafeInstance, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, KMeans_distances, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, nCatFeatures, requiresOffset, score0, setCats, setCats, setInput, setInput

Methods inherited from class java.lang.Object

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

Field Detail

_catOffsets

public int[] _catOffsets

_permutation

public int[] _permutation

_ncats

public int _ncats

_nnums

public int _nnums

_normSub

public double[] _normSub

_normMul

public double[] _normMul

_use_all_factor_levels

public boolean _use_all_factor_levels

_pca_method

public java.lang.String _pca_method

_pca_impl

public java.lang.String _pca_impl

_k

public int _k

_eigenVectorSize

public int _eigenVectorSize

Constructor Detail

PCAMojoModel

public PCAMojoModel(java.lang.String[] columns,
                    java.lang.String[][] domains,
                    java.lang.String responseColumn)

Method Detail

score0

public double[] score0(double[] row,
                       double[] preds)

Description copied from class: GenModel

Subclasses implement the scoring logic. The data is pre-loaded into a re-used temp array, in the order the model expects. The predictions are loaded into the re-used temp array, which is also returned. This call exactly matches the hex.Model.score0, but uses the light-weight GenModel class.

Specified by:

score0 in class GenModel

getPredsSize

public int getPredsSize()

Description copied from class: GenModel

Returns the expected size of preds array which is passed to `predict(double[], double[])` function.

Specified by:

getPredsSize in interface IGeneratedModel

Overrides:

getPredsSize in class GenModel

Returns:

expected size of preds array

nclasses

public int nclasses()

Description copied from class: GenModel

Returns number of output classes for classifiers, 1 for regression models, and 0 for unsupervised models.

Specified by:

nclasses in interface IGenModel

Overrides:

nclasses in class MojoModel

Returns:

returns number of output classes or 1 for regression models.

getOutputNames

public java.lang.String[] getOutputNames()

Overrides:

getOutputNames in class GenModel