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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.ml.regression
import org.apache.spark.annotation.DeveloperApi
import org.apache.spark.ml.{PredictionModel, Predictor, PredictorParams}
/**
* Single-label regression
*
* @tparam FeaturesType Type of input features. E.g., [[org.apache.spark.mllib.linalg.Vector]]
* @tparam Learner Concrete Estimator type
* @tparam M Concrete Model type
*/
private[spark] abstract class Regressor[
FeaturesType,
Learner <: Regressor[FeaturesType, Learner, M],
M <: RegressionModel[FeaturesType, M]]
extends Predictor[FeaturesType, Learner, M] with PredictorParams {
// TODO: defaultEvaluator (follow-up PR)
}
/**
* :: DeveloperApi ::
*
* Model produced by a [[Regressor]].
*
* @tparam FeaturesType Type of input features. E.g., [[org.apache.spark.mllib.linalg.Vector]]
* @tparam M Concrete Model type.
*/
@DeveloperApi
abstract class RegressionModel[FeaturesType, M <: RegressionModel[FeaturesType, M]]
extends PredictionModel[FeaturesType, M] with PredictorParams {
// TODO: defaultEvaluator (follow-up PR)
}
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