org.apache.flink.ml.api

Interface Estimator<E extends Estimator<E,M>,M extends Model<M>>

Type Parameters:

E - class type of the Estimator implementation itself.

M - class type of the Model this Estimator produces.

All Superinterfaces:

Serializable, Stage<E>, WithParams<E>

All Known Implementing Classes:

Graph, KMeans, Knn, LogisticRegression, NaiveBayes, OneHotEncoder, Pipeline

@PublicEvolving
public interface Estimator<E extends Estimator<E,M>,M extends Model<M>>
extends Stage<E>

Estimators are responsible for training and generating Models.

Method Summary

Modifier and Type	Method and Description
M	fit(org.apache.flink.table.api.Table... inputs) Trains on the given inputs and produces a Model.

Methods inherited from interface org.apache.flink.ml.api.Stage

save

Methods inherited from interface org.apache.flink.ml.param.WithParams

get, getParam, getParamMap, set

Method Detail

fit

M fit(org.apache.flink.table.api.Table... inputs)

Trains on the given inputs and produces a Model.

Parameters:

inputs - a list of tables

Returns:

a Model