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From myui <...@git.apache.org>
Subject [GitHub] incubator-hivemall pull request #66: [WIP][HIVEMALL-91] Implement Online LDA
Date Tue, 04 Apr 2017 05:57:36 GMT
Github user myui commented on a diff in the pull request:

    https://github.com/apache/incubator-hivemall/pull/66#discussion_r109578438
  
    --- Diff: core/src/main/java/hivemall/lda/OnlineLDAModel.java ---
    @@ -0,0 +1,464 @@
    +/*
    + * 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.lda;
    +
    +import hivemall.utils.lang.Preconditions;
    +
    +import java.util.List;
    +import java.util.ArrayList;
    +import java.util.Arrays;
    +import java.util.Collections;
    +import java.util.Map;
    +import java.util.HashMap;
    +import java.util.SortedMap;
    +import java.util.TreeMap;
    +
    +import org.apache.commons.math3.distribution.GammaDistribution;
    +import org.apache.commons.math3.special.Gamma;
    +
    +public final class OnlineLDAModel {
    +
    +    // number of topics
    +    private int K_;
    +
    +    // prior on weight vectors "theta ~ Dir(alpha_)"
    +    private float alpha_ = 1 / 2.f;
    +
    +    // prior on topics "beta"
    +    private float eta_ = 1 / 20.f;
    +
    +    // total number of documents
    +    // in the truly online setting, this can be an estimate of the maximum number of
documents that could ever seen
    +    private int D_ = 11102;
    +
    +    // defined by (tau0 + countEMStep)^(-kappa_)
    +    private double rhot;
    +
    +    // positive value which downweights early iterations
    +    private double tau0_ = 1020;
    +
    +    // exponential decay rate (i.e., learning rate) which must be in (0.5, 1] to guarantee
convergence
    +    private double kappa_ = 0.7;
    +
    +    // random number generator
    +    GammaDistribution gd;
    +    private double SHAPE = 100d;
    +    private double SCALE = 1.d / SHAPE;
    +
    +    // parameters
    +    private List<Map<String, float[]>> phi_;
    +    private float[][] gamma_;
    +    private Map<String, float[]> lambda_;
    +
    +    // check convergence in the expectation (E) step
    +    private double DELTA = 1E-5;
    --- End diff --
    
    ```java
     private static double DELTA = 1E-5d;
    ```


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