hex.tree.isofor

Class MetricBuilderAnomalySupervised

java.lang.Object

water.Iced<T>

hex.ModelMetrics.MetricBuilder<T>

hex.ModelMetricsSupervised.MetricBuilderSupervised<T>

hex.ModelMetricsBinomial.MetricBuilderBinomial<MetricBuilderAnomalySupervised>

hex.tree.isofor.MetricBuilderAnomalySupervised

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, water.Freezable<MetricBuilderAnomalySupervised>

public class MetricBuilderAnomalySupervised
extends hex.ModelMetricsBinomial.MetricBuilderBinomial<MetricBuilderAnomalySupervised>

See Also:

Serialized Form

Field Summary

Fields inherited from class hex.ModelMetricsBinomial.MetricBuilderBinomial

_auc, _loglikelihood, _logloss

Fields inherited from class hex.ModelMetricsSupervised.MetricBuilderSupervised

_domain, _nclasses

Fields inherited from class hex.ModelMetrics.MetricBuilder

_CMetricScoringTask, _count, _customMetric, _sumsqe, _wcount, _work, _wY, _wYY

Constructor Summary

Constructors

Constructor and Description
MetricBuilderAnomalySupervised(java.lang.String[] domain)

Method Summary

Modifier and Type	Method and Description
hex.ModelMetrics	makeModelMetrics(hex.Model m, water.fvec.Frame f, water.fvec.Frame frameWithWeights, water.fvec.Frame preds) Create a ModelMetrics for a given model and frame
double[]	perRow(double[] ds, float[] yact, double w, double o, hex.Model m)

Methods inherited from class hex.ModelMetricsBinomial.MetricBuilderBinomial

auc, cachePrediction, makePredictionCache, perRow, pr_auc, reduce, toString

Methods inherited from class hex.ModelMetrics.MetricBuilder

postGlobal, postGlobal, reduce, reduceForCV, setCustomMetric, weightedSigma

Methods inherited from class water.Iced

asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON

Methods inherited from class java.lang.Object

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

Constructor Detail

MetricBuilderAnomalySupervised

public MetricBuilderAnomalySupervised(java.lang.String[] domain)

Method Detail

makeModelMetrics

public hex.ModelMetrics makeModelMetrics(hex.Model m,
                                         water.fvec.Frame f,
                                         water.fvec.Frame frameWithWeights,
                                         water.fvec.Frame preds)

Create a ModelMetrics for a given model and frame

Overrides:

makeModelMetrics in class hex.ModelMetricsBinomial.MetricBuilderBinomial<MetricBuilderAnomalySupervised>

Parameters:

m - Model

f - Frame

frameWithWeights - Frame that contains extra columns such as weights (not used by MetricBuilderAnomalySupervised)

preds - optional predictions (can be null, not used by MetricBuilderAnomalySupervised)

Returns:

ModelMetricsBinomial

perRow

public double[] perRow(double[] ds,
                       float[] yact,
                       double w,
                       double o,
                       hex.Model m)

Overrides:

perRow in class hex.ModelMetricsBinomial.MetricBuilderBinomial<MetricBuilderAnomalySupervised>