public class ANOVAGLMModel extends hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
Modifier and Type | Class and Description |
---|---|
static class |
ANOVAGLMModel.ANOVAGLMModelOutput |
static class |
ANOVAGLMModel.ANOVAGLMParameters |
hex.Model.AdaptFrameParameters, 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.H2OModelDescriptor, hex.Model.InteractionBuilder, hex.Model.InteractionPair, hex.Model.InteractionSpec, hex.Model.JavaModelStreamWriter, hex.Model.JavaScoringOptions, hex.Model.LeafNodeAssignment, hex.Model.Output, hex.Model.Parameters, hex.Model.PredictScoreResult, hex.Model.RowToTreeAssignment, hex.Model.StagedPredictions, hex.Model.UpdateAuxTreeWeights
Constructor and Description |
---|
ANOVAGLMModel(water.Key<ANOVAGLMModel> selfKey,
ANOVAGLMModel.ANOVAGLMParameters parms,
ANOVAGLMModel.ANOVAGLMModelOutput output) |
Modifier and Type | Method and Description |
---|---|
void |
fillOutput(java.lang.String[] modelNames,
int[] degreeOfFreedom) |
water.util.TwoDimTable |
generateSummary()
The Type III SS calculation, degree of freedom, F-statistics and p-values will be included in the model
summary.
|
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected water.Keyed |
readAll_impl(water.AutoBuffer ab,
water.Futures fs) |
protected water.Futures |
remove_impl(water.Futures fs,
boolean cascade) |
water.fvec.Frame |
result()
Return the ANOVA table as an H2OFrame per seb suggestion
|
water.fvec.Frame |
score(water.fvec.Frame fr,
java.lang.String destination_key,
water.Job j,
boolean computeMetrics,
water.udf.CFuncRef customMetricFunc) |
protected double[] |
score0(double[] data,
double[] preds) |
protected water.AutoBuffer |
writeAll_impl(water.AutoBuffer ab) |
adaptFrameForScore, adaptTestForJavaScoring, adaptTestForTrain, adaptTestForTrain, adaptTestForTrain, addMetrics, addModelMetrics, addWarning, aic, 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, isGeneric, isSupervised, last_scored, lift_top_group, likelihood, logloss, loss, mae, makeAdaptFrameParameters, makeBigScoreTask, makeInteraction, makeInteractions, makeInteractions, makePojoWriter, makeSchema, makeScoringDomains, makeScoringNames, makeScoringNames, mean_per_class_error, modelDescriptor, mse, needsPostProcess, postProcessPredictions, predictScoreImpl, r2, resetThreshold, rmsle, score, score, score, score, score, score, score, score0, score0, score0, score0PostProcessSupervised, scoreMetrics, scoring_history, scoringDomains, setInputParms, setupBigScorePredict, testJavaScoring, testJavaScoring, testJavaScoring, testJavaScoring, testJavaScoring, toJava, toJava, toJava, toJavaAlgo, toJavaCheckTooBig, toJavaInit, toJavaModelClassName, toJavaPredictBody, toJavaTransform, toJavaUUID, toMojo, toMojo, toString, transform, uploadBinaryModel, writeTo
delete_and_lock, delete_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_lock
checksum_impl, checksum, checksum, getKey, readAll, remove_impl, remove_self_key_impl, remove, remove, remove, remove, remove, remove, removeQuietly, writeAll
public ANOVAGLMModel(water.Key<ANOVAGLMModel> selfKey, ANOVAGLMModel.ANOVAGLMParameters parms, ANOVAGLMModel.ANOVAGLMModelOutput output)
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
protected double[] score0(double[] data, double[] preds)
score0
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
public water.fvec.Frame score(water.fvec.Frame fr, java.lang.String destination_key, water.Job j, boolean computeMetrics, water.udf.CFuncRef customMetricFunc)
score
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
public water.fvec.Frame result()
result
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
public void fillOutput(java.lang.String[] modelNames, int[] degreeOfFreedom)
public water.util.TwoDimTable generateSummary()
TwoDimTable
representation of the result frameprotected water.Futures remove_impl(water.Futures fs, boolean cascade)
remove_impl
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
protected water.AutoBuffer writeAll_impl(water.AutoBuffer ab)
writeAll_impl
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>
protected water.Keyed readAll_impl(water.AutoBuffer ab, water.Futures fs)
readAll_impl
in class hex.Model<ANOVAGLMModel,ANOVAGLMModel.ANOVAGLMParameters,ANOVAGLMModel.ANOVAGLMModelOutput>