Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/3637#discussion_r23891546
--- Diff:
mllib/src/main/scala/org/apache/spark/ml/regression/Regressor.scala ---
@@ -0,0 +1,72 @@
+/*
+ * 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, AlphaComponent}
+import org.apache.spark.ml.impl.estimator.{PredictionModel, Predictor,
PredictorParams}
+
+/**
+ * :: DeveloperApi ::
+ * Params for regression.
+ * Currently empty, but may add functionality later.
+ */
+@DeveloperApi
+trait RegressorParams extends PredictorParams
+
+/**
+ * :: AlphaComponent ::
+ *
+ * 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
+ */
+@AlphaComponent
+abstract class Regressor[
+ FeaturesType,
+ Learner <: Regressor[FeaturesType, Learner, M],
--- End diff --
What about E for Estimator since "Learner" is not really a concept? (The
only weird thing is that the type parameters are E and M, which reminds me of
EM.)
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