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Posted to reviews@spark.apache.org by "WeichenXu123 (via GitHub)" <gi...@apache.org> on 2023/03/07 02:55:42 UTC

[GitHub] [spark] WeichenXu123 commented on a diff in pull request #40297: [SPARK-42412][WIP] Initial PR of Spark connect ML

WeichenXu123 commented on code in PR #40297:
URL: https://github.com/apache/spark/pull/40297#discussion_r1127288752


##########
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:
   `DataFrame` case cannot be put in `MlCommandResponse`, because the `DataFrame` case we directly generate the dataframe plan in client side, we don't send request to server .



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