lindong28 commented on code in PR #148: URL: https://github.com/apache/flink-ml/pull/148#discussion_r961352889
########## flink-ml-lib/src/main/java/org/apache/flink/ml/clustering/agglomerativeclustering/AgglomerativeClusteringParams.java: ########## @@ -0,0 +1,108 @@ +/* + * 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.flink.ml.clustering.agglomerativeclustering; + +import org.apache.flink.ml.common.param.HasDistanceMeasure; +import org.apache.flink.ml.common.param.HasFeaturesCol; +import org.apache.flink.ml.common.param.HasPredictionCol; +import org.apache.flink.ml.param.BooleanParam; +import org.apache.flink.ml.param.DoubleParam; +import org.apache.flink.ml.param.IntParam; +import org.apache.flink.ml.param.Param; +import org.apache.flink.ml.param.ParamValidators; +import org.apache.flink.ml.param.StringParam; + +/** + * Params of {@link AgglomerativeClustering}. + * + * @param <T> The class type of this instance. + */ +public interface AgglomerativeClusteringParams<T> + extends HasDistanceMeasure<T>, HasFeaturesCol<T>, HasPredictionCol<T> { + Param<Integer> NUM_CLUSTERS = + new IntParam("numClusters", "The max number of clusters to create.", 2); + + Param<Double> DISTANCE_THRESHOLD = + new DoubleParam( + "distanceThreshold", + "Threshold to decide whether two clusters should be merged.", + null); + + String LINKAGE_WARD = "ward"; + String LINKAGE_COMPLETE = "complete"; + String LINKAGE_SINGLE = "single"; + String LINKAGE_AVERAGE = "average"; + /** + * Supported options to compute the distance between two clusters. + * + * <ul> + * <li>ward: difference between the sum of the variance of the two clusters and the merged Review Comment: It seems inconsistent to have `merged one` for this option but not the options described below. And after reading sklearn's doc for this parameter and the source code, I am not sure it is intuitive to mention `sum` here. How about this: `ward: variance between the two clusters` -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
