public class GAMModel extends hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>
| Modifier and Type | Class and Description |
|---|---|
static class |
GAMModel.GAMModelOutput |
static class |
GAMModel.GAMParameters |
hex.Model.BigScore, hex.Model.BigScoreChunkPredict, hex.Model.BigScorePredict, hex.Model.Contributions, hex.Model.DeepFeatures, hex.Model.ExemplarMembers, hex.Model.FeatureFrequencies, hex.Model.GetMostImportantFeatures, hex.Model.GetNTrees, hex.Model.GLRMArchetypes, hex.Model.GridSortBy, hex.Model.InteractionBuilder, hex.Model.InteractionPair, hex.Model.InteractionSpec, hex.Model.JavaModelStreamWriter, hex.Model.LeafNodeAssignment, hex.Model.Output, hex.Model.Parameters, hex.Model.StagedPredictions| Modifier and Type | Field and Description |
|---|---|
java.lang.String[][] |
_gamColNames |
java.lang.String[][] |
_gamColNamesNoCentering |
water.Key<water.fvec.Frame>[] |
_gamFrameKeysCenter |
int |
_nclass |
long |
_nobs |
long |
_nullDOF |
int |
_rank |
double[] |
_ymu |
| Constructor and Description |
|---|
GAMModel(water.Key<GAMModel> selfKey,
GAMModel.GAMParameters parms,
GAMModel.GAMModelOutput output) |
| Modifier and Type | Method and Description |
|---|---|
java.lang.String[] |
adaptTestForTrain(water.fvec.Frame test,
boolean expensive,
boolean computeMetrics)
This method will massage the input training frame such that it can be used for scoring for a GAM model.
|
water.fvec.Frame |
cleanUpInputFrame(water.fvec.Frame test) |
static water.fvec.Frame |
cleanUpInputFrame(water.fvec.Frame adptedF,
GAMModel.GAMParameters parms,
java.lang.String[][] gamColNames,
double[][][] binvD,
double[][][] zTranspose,
double[][] knots,
int[] numKnots) |
water.util.TwoDimTable |
copyTwoDimTable(water.util.TwoDimTable table) |
void |
initActualParamValuesAfterGlmCreation() |
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
java.lang.String[] |
makeScoringNames() |
protected water.fvec.Frame |
predictScoreImpl(water.fvec.Frame fr,
water.fvec.Frame adaptFrm,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc) |
protected water.Keyed |
readAll_impl(water.AutoBuffer ab,
water.Futures fs) |
protected water.Futures |
remove_impl(water.Futures fs,
boolean cascade) |
double[] |
score0(double[] data,
double[] preds) |
protected water.AutoBuffer |
writeAll_impl(water.AutoBuffer ab) |
adaptTestForTrain, addMetrics, addModelMetrics, addWarning, auc, AUCPR, checksum_impl, classification_error, compareTo, computeDeviances, containsResponse, data, defaultThreshold, defaultThreshold, deleteCrossValidationFoldAssignment, deleteCrossValidationModels, deleteCrossValidationPreds, deviance, deviance, evaluateAutoModelParameters, exportBinaryModel, exportMojo, fetchAll, fillScoringInfo, getDefaultGridSortBy, getGenModelEncoding, getMojo, getPojoInterfaces, getToEigenVec, haveMojo, havePojo, importBinaryModel, initActualParamValues, isDistributionHuber, isFeatureUsedInPredict, isFeatureUsedInPredict, isSupervised, last_scored, lift_top_group, likelihood, logloss, loss, mae, makeBigScoreTask, makeInteraction, makeInteractions, makeInteractions, makeSchema, makeScoringDomains, makeScoringNames, mean_per_class_error, modelDescriptor, mse, needsPostProcess, postProcessPredictions, r2, resetThreshold, rmsle, score, score, score, score, score, score, score, score0, score0, score0, score0PostProcessSupervised, scoreMetrics, scoring_history, scoringDomains, setInputParms, setupBigScorePredict, testJavaScoring, testJavaScoring, testJavaScoring, testJavaScoring, toJava, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuper, toJavaTransform, toMojo, toString, uploadBinaryModel, writeTodelete_and_lock, delete_and_lock, delete_and_lock, delete, delete, delete, delete, read_lock, read_lock, read_lock, unlock_all, unlock, unlock, unlock, unlock, update, update, update, write_lock_to_read_lock, write_lock, write_lock, write_lockchecksum, readAll, remove_impl, remove, remove, remove, remove, remove, remove, writeAllpublic java.lang.String[][] _gamColNamesNoCentering
public java.lang.String[][] _gamColNames
public water.Key<water.fvec.Frame>[] _gamFrameKeysCenter
public int _nclass
public double[] _ymu
public long _nobs
public long _nullDOF
public int _rank
public GAMModel(water.Key<GAMModel> selfKey, GAMModel.GAMParameters parms, GAMModel.GAMModelOutput output)
public java.lang.String[] makeScoringNames()
makeScoringNames in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public void initActualParamValuesAfterGlmCreation()
public water.util.TwoDimTable copyTwoDimTable(water.util.TwoDimTable table)
public java.lang.String[] adaptTestForTrain(water.fvec.Frame test,
boolean expensive,
boolean computeMetrics)
adaptTestForTrain in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>test - Testing Frame, updated in-placeexpensive - Try hard to adapt; this might involve the creation of
whole Vecs and thus get expensive. If false, then only adapt if
no warnings and errors; otherwise just the messages are produced.
Created Vecs have to be deleted by the caller (e.g. Scope.enter/exit).computeMetrics - public water.fvec.Frame cleanUpInputFrame(water.fvec.Frame test)
public static water.fvec.Frame cleanUpInputFrame(water.fvec.Frame adptedF,
GAMModel.GAMParameters parms,
java.lang.String[][] gamColNames,
double[][][] binvD,
double[][][] zTranspose,
double[][] knots,
int[] numKnots)
protected water.fvec.Frame predictScoreImpl(water.fvec.Frame fr,
water.fvec.Frame adaptFrm,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc)
predictScoreImpl in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>public double[] score0(double[] data,
double[] preds)
score0 in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>protected water.Futures remove_impl(water.Futures fs,
boolean cascade)
remove_impl in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>protected water.AutoBuffer writeAll_impl(water.AutoBuffer ab)
writeAll_impl in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>protected water.Keyed readAll_impl(water.AutoBuffer ab,
water.Futures fs)
readAll_impl in class hex.Model<GAMModel,GAMModel.GAMParameters,GAMModel.GAMModelOutput>