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src/p/y/pylearn2-HEAD/pylearn2/models/mlp.py   pylearn2(Download)
from pylearn2.utils import wraps
 
from pylearn2.expr.nnet import (kl, compute_precision,
                                    compute_recall, compute_f1)
 
 
        precision = compute_precision(tp, fp)
        recall = compute_recall(y, fp)
        f1 = compute_f1(precision, recall)
 
        rval['per_output_precision_min'] = precision.min()
 
        recall = compute_recall(y, tp)
 
        rval['per_output_recall_max'] = recall.max()
 
            precision = compute_precision(tp, fp)
            recall = compute_recall(y, tp)
            f1 = compute_f1(precision, recall)
 
            rval['per_output_precision_min'] = precision.min()
 
            recall = compute_recall(y, tp)
 
            rval['per_output_recall_max'] = recall.max()