src/core/metrics/ClassificationMetric.java
public void update(MMatrix predicted, MMatrix actual) {
        int actualSize = actual.size();
        for (int sample = 0; sample < actualSize; sample++) {
            update(predicted.get(sample), actual.get(sample));
        }
    }
/**
     * Updates classification statistics and confusion matrix for multiple samples.<br>
     *
     * @param predicted predicted samples.
     * @param actual actual (true) samples.
     */
Updates classification statistics and confusion matrix for multiple samples.

@param predicted predicted samples.
@param actual actual (true) samples.
Updates classification statistics and confusion matrix for multiple samples . @param predicted predicted samples . @param actual actual ( true ) samples .
public void update(MMatrix predicted, MMatrix actual) {
        int actualSize = actual.size();
        for (int sample = 0; sample < actualSize; sample++) {
            update(predicted.get(sample), actual.get(sample));
        }
    }
public void update ( MMatrix predicted , MMatrix actual ) { int actualSize = actual . size ( ) ; for ( int sample = 0 ; sample < actualSize ; sample ++ ) { update ( predicted . get ( sample ) , actual . get ( sample ) ) ; } }
Updates classification statistics and confusion matrix for multiple samples.<br>
Updates classification statistics and confusion matrix for multiple samples . <br >