public class KMeansModel extends hex.ClusteringModel<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>
| Modifier and Type | Class and Description |
|---|---|
static class |
KMeansModel.KMeansOutput |
static class |
KMeansModel.KMeansParameters |
| Constructor and Description |
|---|
KMeansModel(water.Key selfKey,
KMeansModel.KMeansParameters parms,
KMeansModel.KMeansOutput output) |
| Modifier and Type | Method and Description |
|---|---|
hex.ModelMetrics.MetricBuilder |
makeMetricBuilder(java.lang.String[] domain) |
protected water.fvec.Frame |
predictScoreImpl(water.fvec.Frame orig,
water.fvec.Frame adaptedFr,
java.lang.String destination_key,
water.Job j) |
double[] |
score_indicator(water.fvec.Chunk[] chks,
int row_in_chunk,
double[] tmp,
double[] preds) |
double[] |
score_ratio(water.fvec.Chunk[] chks,
int row_in_chunk,
double[] tmp) |
protected double[] |
score0(double[] data,
double[] preds) |
protected double[] |
score0(double[] data,
double[] preds,
double weight,
double offset) |
protected boolean |
toJavaCheckTooBig() |
protected void |
toJavaPredictBody(water.util.SBPrintStream body,
water.codegen.CodeGeneratorPipeline classCtx,
water.codegen.CodeGeneratorPipeline fileCtx,
boolean verboseCode) |
adaptTestForTrain, adaptTestForTrain, addMetrics, addWarning, auc, checksum_impl, classification_error, cleanup_adapt, compareTo, defaultThreshold, deleteCrossValidationModels, deviance, deviance, fillScoringInfo, getToEigenVec, isSupervised, last_scored, lift_top_group, logloss, loss, mae, makeInteraction, makeInteractions, makeInteractions, makeSchema, makeScoringNames, mean_per_class_error, mse, readAll_impl, remove_impl, rmsle, score, score, score, score, score0, score0, scoreMetrics, scoring_history, scoringDomains, testJavaScoring, toJava, toJava, toJava, toJavaInit, toJavaNCLASSES, toJavaPROB, toJavaSuper, toString, writeAll_impldelete_and_lock, delete_and_lock, delete_and_lock, delete, delete, delete, read_lock, read_lock, read_lock, unlock_all, unlock, unlock, unlock, unlock, update, update, update, write_lock, write_lock, write_lockchecksum, readAll, remove, remove, remove, remove, writeAllpublic KMeansModel(water.Key selfKey,
KMeansModel.KMeansParameters parms,
KMeansModel.KMeansOutput output)
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>protected water.fvec.Frame predictScoreImpl(water.fvec.Frame orig,
water.fvec.Frame adaptedFr,
java.lang.String destination_key,
water.Job j)
predictScoreImpl in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>public double[] score_indicator(water.fvec.Chunk[] chks,
int row_in_chunk,
double[] tmp,
double[] preds)
public double[] score_ratio(water.fvec.Chunk[] chks,
int row_in_chunk,
double[] tmp)
protected double[] score0(double[] data,
double[] preds,
double weight,
double offset)
score0 in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>protected double[] score0(double[] data,
double[] preds)
score0 in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>protected void toJavaPredictBody(water.util.SBPrintStream body,
water.codegen.CodeGeneratorPipeline classCtx,
water.codegen.CodeGeneratorPipeline fileCtx,
boolean verboseCode)
toJavaPredictBody in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>protected boolean toJavaCheckTooBig()
toJavaCheckTooBig in class hex.Model<KMeansModel,KMeansModel.KMeansParameters,KMeansModel.KMeansOutput>