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Example 66 with AkSourceBatchOp

use of com.alibaba.alink.operator.batch.source.AkSourceBatchOp in project Alink by alibaba.

the class Chap20 method c_2.

static void c_2() throws Exception {
    Stopwatch sw = new Stopwatch();
    sw.start();
    AlinkGlobalConfiguration.setPrintProcessInfo(true);
    BatchOperator train_sample = new AkSourceBatchOp().setFilePath(Chap11.DATA_DIR + Chap11.TRAIN_SAMPLE_FILE);
    BatchOperator test_data = new AkSourceBatchOp().setFilePath(Chap11.DATA_DIR + Chap11.TEST_FILE);
    final String[] featuresColNames = ArrayUtils.removeElement(train_sample.getColNames(), Chap11.LABEL_COL_NAME);
    GbdtClassifier gbdt = new GbdtClassifier().setFeatureCols(featuresColNames).setLabelCol(Chap11.LABEL_COL_NAME).setPredictionCol(Chap11.PREDICTION_COL_NAME).setPredictionDetailCol(Chap11.PRED_DETAIL_COL_NAME);
    RandomSearchTVSplit randomSearch = new RandomSearchTVSplit().setNumIter(20).setTrainRatio(0.8).setEstimator(gbdt).setParamDist(new ParamDist().addDist(gbdt, GbdtClassifier.NUM_TREES, ValueDist.randArray(new Integer[] { 50, 100 })).addDist(gbdt, GbdtClassifier.MAX_DEPTH, ValueDist.randInteger(4, 10)).addDist(gbdt, GbdtClassifier.MAX_BINS, ValueDist.randArray(new Integer[] { 64, 128, 256, 512 })).addDist(gbdt, GbdtClassifier.LEARNING_RATE, ValueDist.randArray(new Double[] { 0.3, 0.1, 0.01 }))).setTuningEvaluator(new BinaryClassificationTuningEvaluator().setLabelCol(Chap11.LABEL_COL_NAME).setPredictionDetailCol(Chap11.PRED_DETAIL_COL_NAME).setTuningBinaryClassMetric(TuningBinaryClassMetric.F1)).enableLazyPrintTrainInfo();
    RandomSearchTVSplitModel bestModel = randomSearch.fit(train_sample);
    bestModel.transform(test_data).link(new EvalBinaryClassBatchOp().setPositiveLabelValueString("1").setLabelCol(Chap11.LABEL_COL_NAME).setPredictionDetailCol(Chap11.PRED_DETAIL_COL_NAME).lazyPrintMetrics());
    BatchOperator.execute();
    sw.stop();
    System.out.println(sw.getElapsedTimeSpan());
}
Also used : ParamDist(com.alibaba.alink.pipeline.tuning.ParamDist) AkSourceBatchOp(com.alibaba.alink.operator.batch.source.AkSourceBatchOp) GbdtClassifier(com.alibaba.alink.pipeline.classification.GbdtClassifier) Stopwatch(com.alibaba.alink.common.utils.Stopwatch) RandomSearchTVSplit(com.alibaba.alink.pipeline.tuning.RandomSearchTVSplit) BinaryClassificationTuningEvaluator(com.alibaba.alink.pipeline.tuning.BinaryClassificationTuningEvaluator) BatchOperator(com.alibaba.alink.operator.batch.BatchOperator) RandomSearchTVSplitModel(com.alibaba.alink.pipeline.tuning.RandomSearchTVSplitModel) EvalBinaryClassBatchOp(com.alibaba.alink.operator.batch.evaluation.EvalBinaryClassBatchOp)

Aggregations

AkSourceBatchOp (com.alibaba.alink.operator.batch.source.AkSourceBatchOp)66 AkSinkBatchOp (com.alibaba.alink.operator.batch.sink.AkSinkBatchOp)20 EvalBinaryClassBatchOp (com.alibaba.alink.operator.batch.evaluation.EvalBinaryClassBatchOp)18 File (java.io.File)16 EvalMultiClassBatchOp (com.alibaba.alink.operator.batch.evaluation.EvalMultiClassBatchOp)10 Pipeline (com.alibaba.alink.pipeline.Pipeline)10 LogisticRegression (com.alibaba.alink.pipeline.classification.LogisticRegression)10 EvalClusterBatchOp (com.alibaba.alink.operator.batch.evaluation.EvalClusterBatchOp)9 Stopwatch (com.alibaba.alink.common.utils.Stopwatch)8 MemSourceBatchOp (com.alibaba.alink.operator.batch.source.MemSourceBatchOp)7 Row (org.apache.flink.types.Row)6 Test (org.junit.Test)6 BatchOperator (com.alibaba.alink.operator.batch.BatchOperator)5 CsvSourceBatchOp (com.alibaba.alink.operator.batch.source.CsvSourceBatchOp)5 PipelineModel (com.alibaba.alink.pipeline.PipelineModel)5 ArrayList (java.util.ArrayList)4 PluginDownloader (com.alibaba.alink.common.io.plugin.PluginDownloader)3 RegisterKey (com.alibaba.alink.common.io.plugin.RegisterKey)3 LogisticRegressionPredictBatchOp (com.alibaba.alink.operator.batch.classification.LogisticRegressionPredictBatchOp)3 LogisticRegressionTrainBatchOp (com.alibaba.alink.operator.batch.classification.LogisticRegressionTrainBatchOp)3