hex.singlenoderf

Class SpeeDRFModel

java.lang.Object

water.Iced

water.Lockable<Model>

water.Model

hex.singlenoderf.SpeeDRFModel

All Implemented Interfaces:

java.lang.Cloneable, Freezable, Job.Progress

public class SpeeDRFModel
extends Model
implements Job.Progress

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SpeeDRFModel.SpeeDRFModel_DTree

Nested classes/interfaces inherited from class water.Model

Model.ModelAutobufferSerializer, Model.ModelCategory

Field Summary

Fields

Modifier and Type	Field and Description
double	cv_error
static DocGen.FieldDoc[]	DOC_FIELDS
Key[][]	dtreeKeys
SpeeDRFModel.SpeeDRFModel_DTree	dtreeTreeModel
static java.lang.String	JSON_CM_CLASS_ERR
static java.lang.String	JSON_CM_CLASSES_ERRORS
static java.lang.String	JSON_CM_HEADER
static java.lang.String	JSON_CM_MATRIX
static java.lang.String	JSON_CM_ROWS
static java.lang.String	JSON_CM_ROWS_SKIPPED
static java.lang.String	JSON_CM_TREES
static java.lang.String	JSON_CM_TYPE
static java.lang.String	JSON_CONFUSION_KEY
boolean	score_pojo
boolean	useNonLocal
AUCData	validAUC
VarImp	varimp
boolean	verbose
java.lang.String[]	verbose_output
protected long	zeed

Fields inherited from class water.Model

_dataKey, _domains, _have_cv_results, _modelClassDist, _names, _priorClassDist, GEN_BENCHMARK_CODE, training_duration_in_ms, training_start_time, warnings

Fields inherited from class water.Lockable

_key, _lockers

Constructor Summary

Constructors

Modifier	Constructor and Description
	SpeeDRFModel(Key selfKey, Key dataKey, Frame fr, java.lang.String[] domain, SpeeDRF params, float[] priorDist)
protected	SpeeDRFModel(SpeeDRFModel model, double err, ConfusionMatrix cm, VarImp varimp, AUCData auc)

Method Summary

Methods

Modifier and Type	Method and Description
void	buildCM(java.lang.StringBuilder sb)
int	classes()
short	classify(Chunk[] chks, int row, int[] modelDataMap, int[] votes, double[] classWt, java.util.Random rand)
short	classify(int[] votes, double[] classWt, java.util.Random rand)
float	classify0(int tree_id, Chunk[] chunks, int row, int[] modelDataMap, short badrow, boolean regression) Classify a row according to one particular tree.
ConfusionMatrix	cm() For classifiers, confusion matrix on validation set.
int[]	colMap(Frame df)
static float[]	computeVarImpSD(float[][] vote_diffs)
Futures	delete_impl(Futures fs) Free all internal tree keys.
Counter	depth()
protected VarImp	doVarImpCalc(Frame fr, SpeeDRFModel model, Vec resp)
void	find_leaves_depth() Internal computation of depth and number of leaves.
void	generateHTML(java.lang.String title, java.lang.StringBuilder sb)
protected void	generateHTMLAUC(java.lang.StringBuilder sb)
void	generateHTMLTreeStats(java.lang.StringBuilder sb, dontweave.gson.JsonObject trees)
protected void	generateHTMLVarImp(java.lang.StringBuilder sb)
SpeeDRF	get_params()
Model.ModelAutobufferSerializer	getModelSerializer() Returns a model serializer into AutoBuffer.
Request2	job()
Counter	leaves()
static SpeeDRFModel	make(SpeeDRFModel old, Key tkey, Key dtKey, int nodeIdx, java.lang.String tString, int tree_id)
protected static AUCData	makeAUC(ConfusionMatrix[] cms, float[] threshold, java.lang.String[] cmDomain)
float[]	modeldist()
java.lang.String	name(int atree)
float[]	priordist()
float	progress()
protected float[]	score0(double[] data, float[] preds) Subclasses implement the scoring logic.
protected void	setCrossValidationError(Job.ValidatedJob job, double cv_error, ConfusionMatrix cm, AUCData auc, HitRatio hr)
int	size()
DTree.TreeModel	transform2DTreeModel()
byte[]	tree(int tree_id) Return the bits for a particular tree
int	treeCount()
VarImp	varimp() Variable importance of individual input features measured by this model.

Methods inherited from class water.Model

adapt, adapt, addWarning, calcError, classNames, errStr, getDomainMapping, getDomainMapping, getModelCategory, getUniqueId, hasCrossValModels, isClassifier, isSupervised, missingColumnsType, mse, nclasses, nfeatures, printCrossValidationModelsHTML, responseName, score, score, score, score, score, score, score0, scoreCrossValidation, scoreImpl, setModelClassDistribution, start_training, start_training, stop_training, testJavaScoring, toJava, toJava, toJavaDefaultMaxIters, toJavaFillPreds0, toJavaInit, toJavaInit, toJavaNCLASSES, toJavaPredictBody, toJavaSuper, toJavaUnifyPreds

Methods inherited from class water.Lockable

delete_and_lock, delete, delete, delete, delete, is_unlocked, is_wlocked, read_lock, read_lock, unlock_all, unlock_lockable, unlock, update, write_lock

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

zeed

protected long zeed

validAUC

@Request.API(help="AUC")
public AUCData validAUC

varimp

@Request.API(help="Variable Importance")
public VarImp varimp

cv_error

@Request.API(help="CV Error")
public double cv_error

verbose

@Request.API(help="Verbose Mode")
public boolean verbose

verbose_output

@Request.API(help="Verbose Output")
public java.lang.String[] verbose_output

useNonLocal

@Request.API(help="Use non-local data")
public boolean useNonLocal

dtreeKeys

@Request.API(help="Dtree keys")
public Key[][] dtreeKeys

dtreeTreeModel

@Request.API(help="DTree Model")
public SpeeDRFModel.SpeeDRFModel_DTree dtreeTreeModel

score_pojo

@Request.API(help="score_pojo boolean")
public boolean score_pojo

JSON_CONFUSION_KEY

public static final java.lang.String JSON_CONFUSION_KEY

See Also:

Constant Field Values

JSON_CM_TYPE

public static final java.lang.String JSON_CM_TYPE

See Also:

Constant Field Values

JSON_CM_HEADER

public static final java.lang.String JSON_CM_HEADER

See Also:

Constant Field Values

JSON_CM_MATRIX

public static final java.lang.String JSON_CM_MATRIX

See Also:

Constant Field Values

JSON_CM_TREES

public static final java.lang.String JSON_CM_TREES

See Also:

Constant Field Values

JSON_CM_CLASS_ERR

public static final java.lang.String JSON_CM_CLASS_ERR

See Also:

Constant Field Values

JSON_CM_ROWS

public static final java.lang.String JSON_CM_ROWS

See Also:

Constant Field Values

JSON_CM_ROWS_SKIPPED

public static final java.lang.String JSON_CM_ROWS_SKIPPED

See Also:

Constant Field Values

JSON_CM_CLASSES_ERRORS

public static final java.lang.String JSON_CM_CLASSES_ERRORS

See Also:

Constant Field Values

Constructor Detail

SpeeDRFModel

public SpeeDRFModel(Key selfKey,
            Key dataKey,
            Frame fr,
            java.lang.String[] domain,
            SpeeDRF params,
            float[] priorDist)

SpeeDRFModel

protected SpeeDRFModel(SpeeDRFModel model,
            double err,
            ConfusionMatrix cm,
            VarImp varimp,
            AUCData auc)

Method Detail

get_params

public final SpeeDRF get_params()

Overrides:

get_params in class Model

job

public final Request2 job()

Overrides:

job in class Model

varimp

public final VarImp varimp()

Description copied from class: Model

Variable importance of individual input features measured by this model.

Overrides:

varimp in class Model

priordist

public float[] priordist()

modeldist

public float[] modeldist()

treeCount

public int treeCount()

size

public int size()

classes

public int classes()

cm

public ConfusionMatrix cm()

Description copied from class: Model

For classifiers, confusion matrix on validation set.

Overrides:

cm in class Model

make

public static SpeeDRFModel make(SpeeDRFModel old,
                Key tkey,
                Key dtKey,
                int nodeIdx,
                java.lang.String tString,
                int tree_id)

name

public java.lang.String name(int atree)

tree

public byte[] tree(int tree_id)

Return the bits for a particular tree

delete_impl

public Futures delete_impl(Futures fs)

Free all internal tree keys.

Overrides:

delete_impl in class Model

classify0

public float classify0(int tree_id,
              Chunk[] chunks,
              int row,
              int[] modelDataMap,
              short badrow,
              boolean regression)

Classify a row according to one particular tree.

Parameters:

tree_id - the number of the tree to use

chunks - the chunk we are using

row - the row number in the chunk

modelDataMap - mapping from model/tree columns to data columns

Returns:

the predicted response class, or class+1 for broken rows

classify

public short classify(Chunk[] chks,
             int row,
             int[] modelDataMap,
             int[] votes,
             double[] classWt,
             java.util.Random rand)

classify

public short classify(int[] votes,
             double[] classWt,
             java.util.Random rand)

find_leaves_depth

public void find_leaves_depth()

Internal computation of depth and number of leaves.

leaves

public Counter leaves()

depth

public Counter depth()

colMap

public int[] colMap(Frame df)

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.

Specified by:

score0 in class Model

progress

public float progress()

Specified by:

progress in interface Job.Progress

generateHTML

public void generateHTML(java.lang.String title,
                java.lang.StringBuilder sb)

transform2DTreeModel

public DTree.TreeModel transform2DTreeModel()

getModelSerializer

public Model.ModelAutobufferSerializer getModelSerializer()

Description copied from class: Model

Returns a model serializer into AutoBuffer.

Overrides:

getModelSerializer in class Model

generateHTMLTreeStats

public void generateHTMLTreeStats(java.lang.StringBuilder sb,
                         dontweave.gson.JsonObject trees)

buildCM

public void buildCM(java.lang.StringBuilder sb)

makeAUC

protected static AUCData makeAUC(ConfusionMatrix[] cms,
              float[] threshold,
              java.lang.String[] cmDomain)

generateHTMLAUC

protected void generateHTMLAUC(java.lang.StringBuilder sb)

generateHTMLVarImp

protected void generateHTMLVarImp(java.lang.StringBuilder sb)

doVarImpCalc

protected VarImp doVarImpCalc(Frame fr,
                  SpeeDRFModel model,
                  Vec resp)

computeVarImpSD

public static float[] computeVarImpSD(float[][] vote_diffs)

setCrossValidationError

protected void setCrossValidationError(Job.ValidatedJob job,
                           double cv_error,
                           ConfusionMatrix cm,
                           AUCData auc,
                           HitRatio hr)

Overrides:

setCrossValidationError in class Model