H2OBinomialGLMMetrics Class¶
The class makes available all binomial metrics supported by GLM algorithm.
Getter Methods
- getAIC()
Returns: AIC.
Scala type:
Double
, Python type:float
, R type:numeric
- getAUC()
Returns: The AUC for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getConfusionMatrix()
Returns: The ConfusionMatrix at the threshold for maximum F1.
Type:
DataFrame
- getCustomMetricName()
Returns: Name of custom metric.
Scala type:
String
, Python type:string
, R type:character
- getCustomMetricValue()
Returns: Value of custom metric.
Scala type:
Double
, Python type:float
, R type:numeric
- getDataFrameSerializer()
Returns: A full name of a serializer used for serialization and deserialization of Spark DataFrames to a JSON value within NullableDataFrameParam.
Scala type:
String
, Python type:string
, R type:character
- getDescription()
Returns: Optional description for this scoring run (to note out-of-bag, sampled data, etc.).
Scala type:
String
, Python type:string
, R type:character
- getGainsLiftTable()
Returns: Gains and Lift table.
Type:
DataFrame
- getGini()
Returns: The Gini score for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getLogloss()
Returns: The logarithmic loss for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getMaxCriteriaAndMetricScores()
Returns: The Metrics for various criteria.
Type:
DataFrame
- getMeanPerClassError()
Returns: The mean misclassification error per class.
Scala type:
Double
, Python type:float
, R type:numeric
- getMSE()
Returns: The Mean Squared Error of the prediction for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getNobs()
Returns: Number of observations.
Scala type:
Long
, Python type:int
, R type:integer
- getNullDegreesOfFreedom()
Returns: null DOF.
Scala type:
Long
, Python type:int
, R type:integer
- getNullDeviance()
Returns: null deviance.
Scala type:
Double
, Python type:float
, R type:numeric
- getPRAUC()
Returns: The precision-recall AUC for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getR2()
Returns: The R^2 for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getResidualDegreesOfFreedom()
Returns: residual DOF.
Scala type:
Long
, Python type:int
, R type:integer
- getResidualDeviance()
Returns: residual deviance.
Scala type:
Double
, Python type:float
, R type:numeric
- getRMSE()
Returns: The Root Mean Squared Error of the prediction for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getScoringTime()
Returns: The time in mS since the epoch for the start of this scoring run.
Scala type:
Long
, Python type:int
, R type:integer
- getThresholdsAndMetricScores()
Returns: The Metrics for various thresholds.
Type:
DataFrame