taosiyuan163 commented on code in PR #132: URL: https://github.com/apache/flink-ml/pull/132#discussion_r924394986
########## flink-ml-lib/src/main/java/org/apache/flink/ml/feature/chisqtest/ChiSqTestTransformer.java: ########## @@ -0,0 +1,498 @@ +/* + * 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.feature.chisqtest; + +import org.apache.flink.api.common.functions.MapPartitionFunction; +import org.apache.flink.api.common.functions.RichFlatMapFunction; +import org.apache.flink.api.common.functions.RichMapFunction; +import org.apache.flink.api.common.functions.RichMapPartitionFunction; +import org.apache.flink.api.common.typeinfo.TypeInformation; +import org.apache.flink.api.common.typeinfo.Types; +import org.apache.flink.api.java.tuple.Tuple2; +import org.apache.flink.api.java.tuple.Tuple3; +import org.apache.flink.api.java.tuple.Tuple4; +import org.apache.flink.api.java.typeutils.RowTypeInfo; +import org.apache.flink.ml.api.Transformer; +import org.apache.flink.ml.common.broadcast.BroadcastUtils; +import org.apache.flink.ml.common.datastream.DataStreamUtils; +import org.apache.flink.ml.common.param.HasInputCols; +import org.apache.flink.ml.common.param.HasLabelCol; +import org.apache.flink.ml.param.Param; +import org.apache.flink.ml.util.ParamUtils; +import org.apache.flink.ml.util.ReadWriteUtils; +import org.apache.flink.streaming.api.datastream.DataStream; +import org.apache.flink.streaming.api.datastream.SingleOutputStreamOperator; +import org.apache.flink.streaming.api.operators.AbstractStreamOperator; +import org.apache.flink.streaming.api.operators.BoundedOneInput; +import org.apache.flink.streaming.api.operators.OneInputStreamOperator; +import org.apache.flink.streaming.runtime.streamrecord.StreamRecord; +import org.apache.flink.table.api.Table; +import org.apache.flink.table.api.bridge.java.StreamTableEnvironment; +import org.apache.flink.table.api.internal.TableImpl; +import org.apache.flink.types.Row; +import org.apache.flink.util.Collector; +import org.apache.flink.util.Preconditions; + +import org.apache.commons.math3.distribution.ChiSquaredDistribution; + +import java.io.IOException; +import java.math.BigDecimal; +import java.math.RoundingMode; +import java.util.ArrayList; +import java.util.Collections; +import java.util.HashMap; +import java.util.HashSet; +import java.util.List; +import java.util.Map; +import java.util.Optional; +import java.util.function.Function; +import java.util.stream.Collectors; + +/** + * Chi-square test of independence of variables in a contingency table. This Transformer computes + * the chi-square statistic,p-value,and dof(number of degrees of freedom) for every feature in the + * contingency table, which constructed from the `observed` for each categorical values. All label + * and feature values must be categorical. + * + * <p>See: http://en.wikipedia.org/wiki/Chi-squared_test. + */ +public class ChiSqTestTransformer + implements Transformer<ChiSqTestTransformer>, Review Comment: The `Chi-square test` is a statistical function,It does not apply to model evaluation. I think we can placing it in a new package called 'stats', which is the same level as 'feature' package and all of the statistically relevant methods can be put here in future ```suggestion implements AlgoOperator<ChiSqTestTransformer>, ``` -- 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]
