public class DeepwaterMojoModel extends MojoModel
Modifier and Type | Field and Description |
---|---|
int[] |
_catOffsets |
int |
_cats |
int |
_channels |
int |
_height |
float[] |
_meanImageData |
int |
_mini_batch_size |
double[] |
_normMul |
double[] |
_normRespMul |
double[] |
_normRespSub |
double[] |
_normSub |
int |
_nums |
java.lang.String |
_problem_type |
boolean |
_useAllFactorLevels |
int |
_width |
_balanceClasses, _category, _defaultThreshold, _modelClassDistrib, _nclasses, _nfeatures, _priorClassDistrib, _supervised, _uuid
_domains, _names, _offsetColumn
Modifier and Type | Method and Description |
---|---|
static deepwater.backends.BackendTrain |
createDeepWaterBackend(java.lang.String backend) |
double[] |
score0(double[] row,
double[] preds)
Subclasses implement the scoring logic.
|
double[] |
score0(double[] doubles,
double offset,
double[] preds)
Corresponds to `hex.DeepWater.score0()`
|
getModelCategory, getUUID, isSupervised, load, load, nclasses, nfeatures
bitSetContains, bitSetIsInRange, calibrateClassProbabilities, correctProbabilities, createAuxKey, GBM_rescale, getColIdx, getDomainValues, getDomainValues, getDomainValues, getHeader, getModelCategories, getNames, getNumClasses, getNumCols, getNumResponseClasses, getPrediction, getPredsSize, getPredsSize, getResponseIdx, getResponseName, GLM_identityInv, GLM_inverseInv, GLM_logInv, GLM_logitInv, GLM_tweedieInv, img2pixels, isAutoEncoder, isClassifier, KMeans_closest, KMeans_distance, KMeans_distance, Kmeans_preprocessData, Kmeans_preprocessData, KMeans_simplex, log_rescale, mapEnum, setInput
public java.lang.String _problem_type
public int _mini_batch_size
public int _height
public int _width
public int _channels
public int _nums
public int _cats
public int[] _catOffsets
public double[] _normMul
public double[] _normSub
public double[] _normRespMul
public double[] _normRespSub
public boolean _useAllFactorLevels
public transient float[] _meanImageData
public final double[] score0(double[] doubles, double offset, double[] preds)
public double[] score0(double[] row, double[] preds)
GenModel
public static deepwater.backends.BackendTrain createDeepWaterBackend(java.lang.String backend)