The training data
The training data
Learn the parameters of the model.
Learn the parameters of the model.
Predict the value of the target variable given a point.
Predict the value of the target variable given a point.
The non linear feature mapping implicitly defined by the kernel applied, this is initialized to an identity map.
Get the value of the parameters of the model.
Get the value of the parameters of the model.
Represents skeleton of a Linear Model.
The underlying type of the data structure ex. Gremlin, Neo4j, Spark RDD etc
A Vector/Matrix of Doubles
A Vector/Matrix representing the features of a point
The type of the output of the predictive model i.e. A Real Number or a Vector of outputs.
The type of the data containing the features and label.