WeichenXu123 commented on code in PR #40297:
URL: https://github.com/apache/spark/pull/40297#discussion_r1127841115


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connector/connect/server/src/main/scala/org/apache/spark/sql/connect/ml/AlgorithmRegisty.scala:
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@@ -0,0 +1,104 @@
+/*
+ * 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.sql.connect.ml
+
+import org.apache.spark.connect.proto
+import org.apache.spark.ml
+import org.apache.spark.ml.{Estimator, Model}
+import org.apache.spark.ml.classification.TrainingSummary
+import org.apache.spark.sql.DataFrame
+
+
+object AlgorithmRegistry {
+
+  def get(name: String): Algorithm = {
+    name match {
+      case "LogisticRegression" => new LogisticRegressionAlgorithm
+      case _ =>
+        throw new IllegalArgumentException()
+    }
+  }
+
+}
+
+
+abstract class Algorithm {
+
+  def initiateEstimator(uid: String): Estimator[_]
+
+  def getModelAttr(model: Model[_], name: String): 
Either[proto.MlCommandResponse, DataFrame]

Review Comment:
   > maybe here we can split getModelAttr (/ getModelSummaryAttr ) into two 
methods getModelScalarAttr and getModelDataFrameAttr to make it a bit easier to 
understand?
   
   This is what I did in initial code, but then I changed it to current code. 
Because:
   
   in ML code part, returning either MlCommandResponse or DataFrame either , 
the logic for them is the same,
   if we split them into 2 methods, the model summary, we have complex 
hierarchy, then each super class we need to define 2 methods similarly, it 
makes code bloating and hard to maintain.



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