| /* |
| * 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.examples.feature; |
| |
| import org.apache.flink.ml.feature.tokenizer.Tokenizer; |
| import org.apache.flink.streaming.api.datastream.DataStream; |
| import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; |
| import org.apache.flink.table.api.Table; |
| import org.apache.flink.table.api.bridge.java.StreamTableEnvironment; |
| import org.apache.flink.types.Row; |
| import org.apache.flink.util.CloseableIterator; |
| |
| import java.util.Arrays; |
| |
| /** Simple program that creates a Tokenizer instance and uses it for feature engineering. */ |
| public class TokenizerExample { |
| public static void main(String[] args) { |
| StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); |
| StreamTableEnvironment tEnv = StreamTableEnvironment.create(env); |
| |
| // Generates input data. |
| DataStream<Row> inputStream = |
| env.fromElements(Row.of("Test for tokenization."), Row.of("Te,st. punct")); |
| Table inputTable = tEnv.fromDataStream(inputStream).as("input"); |
| |
| // Creates a Tokenizer object and initializes its parameters. |
| Tokenizer tokenizer = new Tokenizer().setInputCol("input").setOutputCol("output"); |
| |
| // Uses the Tokenizer object for feature transformations. |
| Table outputTable = tokenizer.transform(inputTable)[0]; |
| |
| // Extracts and displays the results. |
| for (CloseableIterator<Row> it = outputTable.execute().collect(); it.hasNext(); ) { |
| Row row = it.next(); |
| |
| String inputValue = (String) row.getField(tokenizer.getInputCol()); |
| String[] outputValues = (String[]) row.getField(tokenizer.getOutputCol()); |
| |
| System.out.printf( |
| "Input Value: %s \tOutput Values: %s\n", |
| inputValue, Arrays.toString(outputValues)); |
| } |
| } |
| } |