zhengruifeng commented on code in PR #40097:
URL: https://github.com/apache/spark/pull/40097#discussion_r1134799615


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connector/connect/client/jvm/src/main/scala/org/apache/spark/ml/Estimator.scala:
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@@ -0,0 +1,97 @@
+/*
+ * 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
+
+import scala.annotation.varargs
+
+import org.apache.spark.annotation.Since
+import org.apache.spark.ml.param.{ParamMap, ParamPair}
+import org.apache.spark.sql.Dataset
+
+/**
+ * Abstract class for estimators that fit models to data.
+ */
+abstract class Estimator[M <: Model[M]] extends PipelineStage {

Review Comment:
   The reason that I didn't add `Transformer` (as well as its subclasses) into 
the `mllib-common` is to control the dependency:
   
   ```
   def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
   ```
   
   `Transformer` depends on `Dataset`, I think it will not be involved in the 
catalyst common module
   
   cc @hvanhovell 



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