| /* |
| * 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 hivemall.factorization.mf; |
| |
| import hivemall.optimizer.EtaEstimator; |
| |
| import org.apache.commons.cli.CommandLine; |
| import org.apache.commons.cli.Options; |
| import org.apache.hadoop.hive.ql.exec.Description; |
| import org.apache.hadoop.hive.ql.exec.UDFArgumentException; |
| import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; |
| |
| @Description(name = "train_mf_sgd", |
| value = "_FUNC_(INT user, INT item, FLOAT rating [, CONSTANT STRING options])" |
| + " - Returns a relation consists of <int idx, array<float> Pu, array<float> Qi [, float Bu, float Bi [, float mu]]>") |
| public final class MatrixFactorizationSGDUDTF extends OnlineMatrixFactorizationUDTF { |
| |
| private EtaEstimator etaEstimator; |
| |
| public MatrixFactorizationSGDUDTF() { |
| super(); |
| } |
| |
| @Override |
| protected Options getOptions() { |
| Options opts = super.getOptions(); |
| opts.addOption("eta", true, |
| "The initial learning rate [default: " + EtaEstimator.DEFAULT_ETA + "]"); |
| opts.addOption("eta0", true, |
| "The initial learning rate [default: " + EtaEstimator.DEFAULT_ETA0 + "]"); |
| opts.addOption("t", "total_steps", true, "The total number of training examples"); |
| opts.addOption("power_t", true, "The exponent for inverse scaling learning rate [default: " |
| + EtaEstimator.DEFAULT_POWER_T + "]"); |
| return opts; |
| } |
| |
| @Override |
| protected CommandLine processOptions(ObjectInspector[] argOIs) throws UDFArgumentException { |
| CommandLine cl = super.processOptions(argOIs); |
| this.etaEstimator = EtaEstimator.get(cl); |
| return cl; |
| } |
| |
| @Override |
| protected float eta() { |
| return etaEstimator.eta(count); |
| } |
| |
| } |