public class GAM extends hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>
| Constructor and Description |
|---|
GAM(boolean startup_once) |
GAM(GAMModel.GAMParameters parms) |
GAM(GAMModel.GAMParameters parms,
water.Key<GAMModel> key) |
| Modifier and Type | Method and Description |
|---|---|
hex.ModelBuilder.BuilderVisibility |
builderVisibility() |
hex.ModelCategory[] |
can_build() |
protected boolean |
computePriorClassDistribution() |
void |
failVerifyKnots(double[] knots) |
double[][] |
generateKnotsFromKeys()
This method will look at the keys of knots stored in _parms._knot_ids and copy them over to double[][]
array.
|
double[] |
generateKnotsOneColumn(water.fvec.Frame gamFrame,
int knotNum) |
boolean |
haveMojo() |
boolean |
havePojo() |
void |
init(boolean expensive) |
boolean |
isSupervised() |
protected int |
nModelsInParallel(int folds) |
protected hex.gam.GAM.GAMDriver |
trainModelImpl() |
algoName, algos, bulkBuildModels, canLearnFromNAs, checkDistributions, checkMemoryFootPrint_impl, checkMemoryFootPrint, checkResponseVariable, clearInitState, clearValidationErrors, computeCrossValidation, cv_AssignFold, cv_buildModels, cv_computeAndSetOptimalParameters, cv_mainModelScores, cv_makeWeights, cv_scoreCVModels, defaultKey, desiredChunks, dest, error_count, error, get, getName, getSysProperty, getToEigenVec, hasFoldCol, hasOffsetCol, hasWeightCol, hide, ignoreBadColumns, ignoreConstColumns, ignoreInvalidColumns, ignoreStringColumns, ignoreUuidColumns, info, init_adaptFrameToTrain, init_getNClass, initWorkspace, isClassifier, isResponseOptional, isStopped, javaName, logMe, make, make, make, message, nclasses, nFoldCV, nFoldWork, nModelsInParallel, nModelsInParallel, numSpecialCols, paramName, rebalance, response, schemaDirectory, separateFeatureVecs, setModelBuilderListener, setTrain, shouldReorder, specialColNames, stop_requested, timeout, train, trainModel, trainModelNested, trainModelNested, trainModelOnH2ONode, valid, validateStoppingMetric, validationErrors, vresponse, warnpublic GAM(boolean startup_once)
public GAM(GAMModel.GAMParameters parms)
public GAM(GAMModel.GAMParameters parms, water.Key<GAMModel> key)
public hex.ModelCategory[] can_build()
can_build in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public boolean isSupervised()
isSupervised in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public hex.ModelBuilder.BuilderVisibility builderVisibility()
builderVisibility in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public boolean havePojo()
havePojo in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public boolean haveMojo()
haveMojo in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public double[][] generateKnotsFromKeys()
public void failVerifyKnots(double[] knots)
public double[] generateKnotsOneColumn(water.fvec.Frame gamFrame,
int knotNum)
public void init(boolean expensive)
init in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>protected boolean computePriorClassDistribution()
computePriorClassDistribution in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>protected hex.gam.GAM.GAMDriver trainModelImpl()
trainModelImpl in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>protected int nModelsInParallel(int folds)
nModelsInParallel in class hex.ModelBuilder<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>