public class GLRMModel extends hex.Model<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput> implements hex.Model.GLRMArchetypes
| Modifier and Type | Class and Description |
|---|---|
static class |
GLRMModel.GLRMOutput |
static class |
GLRMModel.GLRMParameters |
| Constructor and Description |
|---|
GLRMModel(water.Key selfKey,
GLRMModel.GLRMParameters parms,
GLRMModel.GLRMOutput 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) |
protected water.Keyed |
readAll_impl(water.AutoBuffer ab,
water.Futures fs) |
protected water.Futures |
remove_impl(water.Futures fs) |
protected double[] |
score0(double[] data,
double[] preds) |
water.fvec.Frame |
scoreArchetypes(water.fvec.Frame frame,
water.Key destination_key,
boolean reverse_transform)
Project each archetype into original feature space
|
ModelMetricsGLRM |
scoreMetricsOnly(water.fvec.Frame frame) |
water.fvec.Frame |
scoreReconstruction(water.fvec.Frame frame,
water.Key destination_key,
boolean reverse_transform) |
protected water.AutoBuffer |
writeAll_impl(water.AutoBuffer ab)
Write out K/V pairs
|
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, rmsle, score, score, score, score, score0, score0, score0, scoreMetrics, scoring_history, scoringDomains, testJavaScoring, toJava, toJava, toJava, toJavaCheckTooBig, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaPROB, toJavaSuper, toStringdelete_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 GLRMModel(water.Key selfKey,
GLRMModel.GLRMParameters parms,
GLRMModel.GLRMOutput output)
protected water.Futures remove_impl(water.Futures fs)
remove_impl in class hex.Model<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput>protected water.AutoBuffer writeAll_impl(water.AutoBuffer ab)
writeAll_impl in class hex.Model<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput>protected water.Keyed readAll_impl(water.AutoBuffer ab,
water.Futures fs)
readAll_impl in class hex.Model<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput>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<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput>public water.fvec.Frame scoreReconstruction(water.fvec.Frame frame,
water.Key destination_key,
boolean reverse_transform)
scoreReconstruction in interface hex.Model.GLRMArchetypespublic water.fvec.Frame scoreArchetypes(water.fvec.Frame frame,
water.Key destination_key,
boolean reverse_transform)
scoreArchetypes in interface hex.Model.GLRMArchetypesframe - Original training data with m rows and n columnsdestination_key - Frame Id for outputprotected double[] score0(double[] data,
double[] preds)
score0 in class hex.Model<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput>public ModelMetricsGLRM scoreMetricsOnly(water.fvec.Frame frame)
public hex.ModelMetrics.MetricBuilder makeMetricBuilder(java.lang.String[] domain)
makeMetricBuilder in class hex.Model<GLRMModel,GLRMModel.GLRMParameters,GLRMModel.GLRMOutput>