H2ORegressionGLMMetrics Class¶
The class makes available all regression metrics supported by GLM algorithm.
Getter Methods
- getAIC()
Returns: AIC.
Scala type:
Double
, Python type:float
, R type:numeric
- 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
- 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
- getMAE()
Returns: The mean absolute error for this scoring run.
Scala type:
Double
, Python type:float
, R type:numeric
- getMeanResidualDeviance()
Returns: The mean residual deviance for this scoring run.
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
- 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
- getRMSLE()
Returns: The root mean squared log error 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