Github user myui commented on a diff in the pull request:
https://github.com/apache/incubator-hivemall/pull/66#discussion_r111728179
--- Diff: core/src/main/java/hivemall/topicmodel/OnlineLDAModel.java ---
@@ -350,66 +348,80 @@ private float computeApproxBoundForMiniBatch() {
float score = 0.f;
// prepare
- final float[] gammaSum = new float[_miniBatchSize];
- for (int d = 0; d < gammaSum.length; d++) {
- gammaSum[d] += MathUtils.sum(_gamma[d], _K);
+ float[] gammaSum = new float[_miniBatchSize];
+ Arrays.fill(gammaSum, 0.f);
+ for (int d = 0; d < _miniBatchSize; d++) {
+ for (int k = 0; k < _K; k++) {
+ gammaSum[d] += _gamma[d][k];
+ }
}
- final float[] lambdaSum = new float[_K];
- for (float[] lambda_l : _lambda.values()) {
- MathUtils.add(lambdaSum, lambda_l, _K);
+ float[] lambdaSum = new float[_K];
+ Arrays.fill(lambdaSum, 0.f);
+ for (int k = 0; k < _K; k++) {
+ for (String label : _lambda.keySet()) {
+ lambdaSum[k] += _lambda.get(label)[k];
+ }
}
- // E[log p(docs | theta, beta)]
for (int d = 0; d < _miniBatchSize; d++) {
- // for each word in the document
- for (String label : _miniBatchMap.get(d).keySet()) {
- float wordCount = _miniBatchMap.get(d).get(label);
-
- float tmp = 0.f;
+ // E[log p(doc | theta, beta)]
+ Map<String, Float> doc = _miniBatchMap.get(d);
+ for (String label : doc.keySet()) { // for each word in the
document
+ float[] temp = new float[_K];
+ float max = Float.MIN_VALUE;
for (int k = 0; k < _K; k++) {
float eLogTheta_dk = (float)
(Gamma.digamma(_gamma[d][k]) - Gamma.digamma(gammaSum[d]));
- float eLogBeta_kw = 0.f;
- if (_lambda.containsKey(d)) {
- eLogBeta_kw = (float)
(Gamma.digamma(_lambda.get(d)[k]
- - Gamma.digamma(lambdaSum[k])));
+ float eLogBeta_kw = (float)
(Gamma.digamma(_lambda.get(label)[k])
--- End diff --
hash lookup `_lambda.get(label)` should be placed out of loop.
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