blob: 7ae93bf36299b7a97168743a064a6c121eb74b84 [file]
# 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.
import mxnet as mx
import json
def check_metric(metric, *args, **kwargs):
metric = mx.metric.create(metric, *args, **kwargs)
str_metric = json.dumps(metric.get_config())
metric2 = mx.metric.create(str_metric)
assert metric.get_config() == metric2.get_config()
def test_metrics():
check_metric('acc', axis=0)
check_metric('f1')
check_metric('perplexity', -1)
check_metric('pearsonr')
composite = mx.metric.create(['acc', 'f1'])
check_metric(composite)
if __name__ == '__main__':
import nose
nose.runmodule()