hex

Class ModelMetricsBinomialGeneric

java.lang.Object

water.Iced<T>

water.Keyed<ModelMetrics>

hex.ModelMetrics

hex.ModelMetricsSupervised

hex.ModelMetricsBinomial

hex.ModelMetricsBinomialGeneric

All Implemented Interfaces:

java.io.Externalizable, java.io.Serializable, java.lang.Cloneable, Freezable<ModelMetrics>

Direct Known Subclasses:

ModelMetricsBinomialGLMGeneric

public class ModelMetricsBinomialGeneric
extends ModelMetricsBinomial

See Also:

Serialized Form

Nested Class Summary

Nested classes/interfaces inherited from class hex.ModelMetricsBinomial

ModelMetricsBinomial.MetricBuilderBinomial<T extends ModelMetricsBinomial.MetricBuilderBinomial<T>>

Nested classes/interfaces inherited from class hex.ModelMetricsSupervised

ModelMetricsSupervised.MetricBuilderSupervised<T extends ModelMetricsSupervised.MetricBuilderSupervised<T>>

Nested classes/interfaces inherited from class hex.ModelMetrics

ModelMetrics.MetricBuilder<T extends ModelMetrics.MetricBuilder<T>>

Field Summary

Fields

Modifier and Type	Field and Description
TwoDimTable	_confusion_matrix
TwoDimTable	_gainsLiftTable
TwoDimTable	_max_criteria_and_metric_scores
double	_r2
TwoDimTable	_thresholds_and_metric_scores

Fields inherited from class hex.ModelMetricsBinomial

_aic, _auc, _gainsLift, _loglikelihood, _logloss, _mean_per_class_error

Fields inherited from class hex.ModelMetricsSupervised

_domain, _sigma

Fields inherited from class hex.ModelMetrics

_custom_metric, _description, _MSE, _nobs, _scoring_time

Fields inherited from class water.Keyed

_key

Constructor Summary

Constructors

Constructor and Description
ModelMetricsBinomialGeneric(Model model, Frame frame, long nobs, double mse, java.lang.String[] domain, double sigma, AUC2 auc, double logloss, TwoDimTable gainsLiftTable, CustomMetric customMetric, double mean_per_class_error, TwoDimTable thresholds_and_metric_scores, TwoDimTable max_criteria_and_metric_scores, TwoDimTable confusion_matrix, double r2, java.lang.String description)

Method Summary

Modifier and Type	Method and Description
double	r2()

Methods inherited from class hex.ModelMetricsBinomial

aic, auc_obj, auc, aucpr, cm, cm, gainsLift, getFromDKV, lift_top_group, loglikelihood, logloss, make, make, make, mean_per_class_error, pr_auc, toString

Methods inherited from class hex.ModelMetrics

appendToStringMetrics, buildKey, buildKey, calcVarImp, calcVarImp, calcVarImp, calcVarImp, checksum_impl, custom_increasing, custom, deepCloneWithDifferentModelAndFrame, defaultModelMetrics, frame, getAllowedMetrics, getMetricFromModel, getMetricFromModelMetric, hr, isForFrame, isForModel, model, mse, residual_degrees_of_freedom, rmse, setModelKey, sortModelsByMetric, sortModelsByMetric, withDescription, withModelAndFrame

Methods inherited from class water.Keyed

checksum_impl, checksum, checksum, getKey, makeSchema, readAll_impl, readAll, remove_impl, remove_impl, remove_self_key_impl, remove, remove, remove, remove, remove, remove, removeQuietly, writeAll_impl, writeAll

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

Field Detail

_gainsLiftTable

public final TwoDimTable _gainsLiftTable

_thresholds_and_metric_scores

public final TwoDimTable _thresholds_and_metric_scores

_max_criteria_and_metric_scores

public final TwoDimTable _max_criteria_and_metric_scores

_confusion_matrix

public final TwoDimTable _confusion_matrix

_r2

public final double _r2

Constructor Detail

ModelMetricsBinomialGeneric

public ModelMetricsBinomialGeneric(Model model,
                                   Frame frame,
                                   long nobs,
                                   double mse,
                                   java.lang.String[] domain,
                                   double sigma,
                                   AUC2 auc,
                                   double logloss,
                                   TwoDimTable gainsLiftTable,
                                   CustomMetric customMetric,
                                   double mean_per_class_error,
                                   TwoDimTable thresholds_and_metric_scores,
                                   TwoDimTable max_criteria_and_metric_scores,
                                   TwoDimTable confusion_matrix,
                                   double r2,
                                   java.lang.String description)

Method Detail

r2

public double r2()

Overrides:

r2 in class ModelMetricsSupervised