hex.drf
Class DRF.DRFModel

java.lang.Object
  water.Iced
      water.Model
          hex.gbm.DTree.TreeModel
              hex.drf.DRF.DRFModel

All Implemented Interfaces:

java.lang.Cloneable, Freezable

Enclosing class:

DRF

public static class DRF.DRFModel
extends DTree.TreeModel

DRF model holding serialized tree and implementing logic for scoring a row

Nested Class Summary

Nested classes/interfaces inherited from class hex.gbm.DTree.TreeModel

DTree.TreeModel.CompressedTree, DTree.TreeModel.TreeStats, DTree.TreeModel.TreeVisitor<T extends java.lang.Exception>

Nested classes/interfaces inherited from class water.Model

Model.SB

Field Summary

static DocGen.FieldDoc[]

DOC_FIELDS

Fields inherited from class hex.gbm.DTree.TreeModel

cm, errs, N, testKey, treeBits, treeStats, varimp

Fields inherited from class water.Model

_dataKey, _domains, _names, _selfKey

Constructor Summary

DRF.DRFModel(DRF.DRFModel prior, DTree[] trees, double err, long[][] cm, DTree.TreeModel.TreeStats tstats)

DRF.DRFModel(DRF.DRFModel prior, float[] varimp)

DRF.DRFModel(Key key, Key dataKey, Key testKey, java.lang.String[] names, java.lang.String[][] domains, int ntrees)

Method Summary

protected float[]

score0(double[] data, float[] preds) Subclasses implement the scoring logic.

Methods inherited from class hex.gbm.DTree.TreeModel

cm, generateHTML, generateHTMLTreeStats, generateHTMLVarImp, numTrees, score0, toJavaPredictBody, varimp

Methods inherited from class water.Model

adapt, adapt, classNames, delete, getDomainMapping, isClassifier, nclasses, responseName, score, score, score, score, score, score0, testJavaScoring, toJava, toJavaInit, toJavaInit

Methods inherited from class water.Iced

clone, frozenType, init, newInstance, read, toDocField, write, writeJSON, writeJSONFields

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

DOC_FIELDS

public static DocGen.FieldDoc[] DOC_FIELDS

Constructor Detail

DRF.DRFModel

public DRF.DRFModel(Key key,
                    Key dataKey,
                    Key testKey,
                    java.lang.String[] names,
                    java.lang.String[][] domains,
                    int ntrees)

DRF.DRFModel

public DRF.DRFModel(DRF.DRFModel prior,
                    DTree[] trees,
                    double err,
                    long[][] cm,
                    DTree.TreeModel.TreeStats tstats)

DRF.DRFModel

public DRF.DRFModel(DRF.DRFModel prior,
                    float[] varimp)

Method Detail

score0

protected float[] score0(double[] data,
                         float[] preds)

Description copied from class: Model

Subclasses implement the scoring logic. The data is pre-loaded into a re-used temp array, in the order the model expects. The predictions are loaded into the re-used temp array, which is also returned.

Overrides:

score0 in class DTree.TreeModel