Examples of edu.ucla.sspace.matrix.LogEntropyTransform.transform()

Class edu.ucla.sspace.matrix.LogEntropyTransform

Examples of edu.ucla.sspace.matrix.LogEntropyTransform.transform()

edu.ucla.sspace.matrix.LogEntropyTransform.transform()
Calculates the entropy (information gain) where {@code value} is thenumber of occurances of item {@code row} with feature {@code column}. The item entropy is defined as:
1 + entropy(item) / log(numberOfFeatures)
with entropy defined as:
sum_features(p(item, feature) * log(p(item, feature))) @param row The index specifying the observed item @param column The index specifying the observed feature @param value The number occurances of the item and the feature @return log(value) * item_entropy(row)

                        termDocumentMatrixBuilder.getMatrixFormat()
                        + " at " + termDocumentMatrix.getAbsolutePath());
            }


            // Convert the raw term counts using the specified transform
            File transformedMatrix = transform.transform(termDocumentMatrix,
                    termDocumentMatrixBuilder.getMatrixFormat());


            if (LSA_LOGGER.isLoggable(Level.FINE)) {
                LSA_LOGGER.fine("transformed matrix to " +
                        transformedMatrix.getAbsolutePath());

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