public static class ModelMetricsHGLM.MetricBuilderHGLM<T extends ModelMetricsHGLM.MetricBuilderHGLM<T>> extends ModelMetricsSupervised.MetricBuilderSupervised<T>
Modifier and Type | Field and Description |
---|---|
long |
_bad |
double |
_caic |
boolean |
_converge |
double |
_convergence |
double |
_dfrefe |
double[] |
_fixef |
double |
_hlik |
int |
_iterations |
long |
_nobs |
double |
_pbvh |
double |
_pvh |
int[] |
_randc |
double[] |
_ranef |
double[] |
_sefe |
double[] |
_sere |
double |
_sumetadiffsquare |
double[] |
_summvc1 |
double[][] |
_summvc2 |
double |
_varfix |
double[] |
_varranef |
_domain, _nclasses
_count, _customMetric, _sumsqe, _wcount, _work, _wY, _wYY
Constructor and Description |
---|
MetricBuilderHGLM(java.lang.String[] domain) |
Modifier and Type | Method and Description |
---|---|
ModelMetrics |
makeModelMetrics(Model m,
Frame f,
Frame adaptedFrame,
Frame preds)
Having computed a MetricBuilder, this method fills in a ModelMetrics
|
double[] |
perRow(double[] ds,
float[] yact,
Model m) |
void |
updateCoeffs(double[] fixedCoeffs,
double[] randCoeffs) |
void |
updateSummVC(double[] VC1,
double[][] VC2,
int[] randc) |
cachePrediction, makePredictionCache, perRow, postGlobal, postGlobal, reduce, reduce, reduceForCV, setCustomMetric, weightedSigma
asBytes, clone, copyOver, frozenType, read, readExternal, readJSON, reloadFromBytes, toJsonBytes, toJsonString, write, writeExternal, writeJSON
public double[] _sefe
public double[] _sere
public double _varfix
public double[] _varranef
public boolean _converge
public double _dfrefe
public double[] _summvc1
public double[][] _summvc2
public double _hlik
public double _pvh
public double _pbvh
public double _caic
public long _bad
public double _sumetadiffsquare
public double _convergence
public double[] _fixef
public double[] _ranef
public int[] _randc
public int _iterations
public long _nobs
public void updateCoeffs(double[] fixedCoeffs, double[] randCoeffs)
public void updateSummVC(double[] VC1, double[][] VC2, int[] randc)
public double[] perRow(double[] ds, float[] yact, Model m)
perRow
in class ModelMetrics.MetricBuilder<T extends ModelMetricsHGLM.MetricBuilderHGLM<T>>
public ModelMetrics makeModelMetrics(Model m, Frame f, Frame adaptedFrame, Frame preds)
ModelMetrics.MetricBuilder
makeModelMetrics
in class ModelMetrics.MetricBuilder<T extends ModelMetricsHGLM.MetricBuilderHGLM<T>>
m
- Modelf
- Scored FrameadaptedFrame
- Adapted Framepreds
- Predictions of m on f (optional) @return Filled Model Metrics object