abstract class GeneralizedLinearModel extends Serializable
GeneralizedLinearModel (GLM) represents a model trained using GeneralizedLinearAlgorithm. GLMs consist of a weight vector and an intercept.
- Annotations
- @Since( "0.8.0" )
- Source
- GeneralizedLinearAlgorithm.scala
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- GeneralizedLinearModel
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Concrete Value Members
-
val
intercept: Double
- Annotations
- @Since( "0.8.0" )
-
def
predict(testData: Vector): Double
Predict values for a single data point using the model trained.
Predict values for a single data point using the model trained.
- testData
array representing a single data point
- returns
Double prediction from the trained model
- Annotations
- @Since( "1.0.0" )
-
def
predict(testData: RDD[Vector]): RDD[Double]
Predict values for the given data set using the model trained.
Predict values for the given data set using the model trained.
- testData
RDD representing data points to be predicted
- returns
RDD[Double] where each entry contains the corresponding prediction
- Annotations
- @Since( "1.0.0" )
-
def
toString(): String
Print a summary of the model.
Print a summary of the model.
- Definition Classes
- GeneralizedLinearModel → AnyRef → Any
-
val
weights: Vector
- Annotations
- @Since( "1.0.0" )