/* * 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.fm; import hivemall.utils.collections.Int2FloatOpenHashTable; import hivemall.utils.collections.IntOpenHashMap; import java.util.Arrays; import javax.annotation.Nonnull; import org.apache.hadoop.hive.ql.metadata.HiveException; public final class FMIntFeatureMapModel extends FactorizationMachineModel { private static final int DEFAULT_MAPSIZE = 4096; // LEARNING PARAMS private float _w0; private final Int2FloatOpenHashTable _w; private final IntOpenHashMap<float[]> _V; private int _minIndex, _maxIndex; public FMIntFeatureMapModel(@Nonnull FMHyperParameters params) { super(params); this._w0 = 0.f; this._w = new Int2FloatOpenHashTable(DEFAULT_MAPSIZE); _w.defaultReturnValue(0.f); this._V = new IntOpenHashMap<float[]>(DEFAULT_MAPSIZE); this._minIndex = 0; this._maxIndex = 0; } @Override public int getSize() { return _w.size(); } @Override protected int getMinIndex() { return _minIndex; } @Override protected int getMaxIndex() { return _maxIndex; } @Override public float getW0() { return _w0; } @Override protected void setW0(float nextW0) { this._w0 = nextW0; } @Override protected float getW(final int i) { assert (i >= 1) : i; return _w.get(i); } @Override public float getW(@Nonnull final Feature x) { final int i = x.getFeatureIndex(); if (i == 0) { return _w0; } else { assert (i >= 1) : i; return _w.get(i); } } @Override protected void setW(@Nonnull Feature x, float nextWi) { final int i = x.getFeatureIndex(); if (i == 0) { this._w0 = nextWi; } else { assert (i >= 1) : i; _w.put(i, nextWi); } } @Override protected float[] getV(int i, boolean init) { assert (i >= 1) : i; return _V.get(i); } @Override public float getV(@Nonnull final Feature x, final int f) { int i = x.getFeatureIndex(); assert (i >= 1) : i; final float[] Vi = _V.get(i); if (Vi == null) { return 0.f; } return Vi[f]; } @Override protected void setV(@Nonnull Feature x, int f, float nextVif) { final int i = x.getFeatureIndex(); assert (i >= 1) : i; float[] vi = _V.get(i); assert (vi != null) : "V[" + i + "] was null"; vi[f] = nextVif; } @Override public void check(@Nonnull final Feature[] x) throws HiveException { for (Feature e : x) { if (e == null) { continue; } final int idx = e.getFeatureIndex(); if (idx < 1) { throw new HiveException("Index of x should be greater than or equals to 1: " + Arrays.toString(x)); } if (!_w.containsKey(idx)) { _w.put(idx, 0.f); } if (!_V.containsKey(idx)) { float[] tmp = initV(); _V.put(idx, tmp); } this._maxIndex = Math.max(_maxIndex, idx); this._minIndex = Math.min(_minIndex, idx); } } }