dmitrievanthony commented on a change in pull request #5851: IGNITE-10968: [ML] Create new ignite module SparkMLModelImport and add LogRegression converter URL: https://github.com/apache/ignite/pull/5851#discussion_r248736161
########## File path: modules/ml/spark-model-parser/src/main/java/org/apache/ignite/ml/sparkmodelparser/SparkModelParser.java ########## @@ -0,0 +1,127 @@ +/* + * 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.ignite.ml.sparkmodelparser; + +import java.io.IOException; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.fs.Path; +import org.apache.ignite.ml.inference.Model; +import org.apache.ignite.ml.math.primitives.vector.Vector; +import org.apache.ignite.ml.math.primitives.vector.impl.DenseVector; +import org.apache.ignite.ml.regressions.logistic.LogisticRegressionModel; +import org.apache.parquet.column.page.PageReadStore; +import org.apache.parquet.example.data.simple.SimpleGroup; +import org.apache.parquet.example.data.simple.convert.GroupRecordConverter; +import org.apache.parquet.format.converter.ParquetMetadataConverter; +import org.apache.parquet.hadoop.ParquetFileReader; +import org.apache.parquet.hadoop.metadata.ParquetMetadata; +import org.apache.parquet.io.ColumnIOFactory; +import org.apache.parquet.io.MessageColumnIO; +import org.apache.parquet.io.RecordReader; +import org.apache.parquet.schema.MessageType; + +/** Parser of Spark models. */ +public class SparkModelParser { + /** Parquet path. */ + private static Path parquetPath; + + /** + * Load model from parquet file. + * + * @return Instance of LogReg model. + */ + public static Model parse(Path pathToMdl, SupportedSparkModels parsedSparkModel) { + + switch (parsedSparkModel){ + case LOG_REGRESSION: return loadLogRegModel(pathToMdl); + default: throw new UnsupportedSparkModelException(parsedSparkModel.toString()); + } + } + + /** + * Load logistic regression model. + * + * @param pathToMdl Path to model. + */ + private static Model loadLogRegModel(Path pathToMdl) { + parquetPath = pathToMdl; + // Default values + double[] rawCoefficients = null; + Vector coefficients = new DenseVector(rawCoefficients); + double interceptor = 0; + + Configuration conf = new Configuration(); + try { + ParquetMetadata readFooter = ParquetFileReader.readFooter(conf, parquetPath, ParquetMetadataConverter.NO_FILTER); + MessageType schema = readFooter.getFileMetaData().getSchema(); + + PageReadStore pages; + try (ParquetFileReader r = new ParquetFileReader(conf, parquetPath, readFooter)) { + while (null != (pages = r.readNextRowGroup())) { + final long rows = pages.getRowCount(); + final MessageColumnIO colIO = new ColumnIOFactory().getColumnIO(schema); Review comment: Looks like `colIO` and factory can be above to loop, what do you think? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org With regards, Apache Git Services
