33 lines
1.0 KiB
Python
33 lines
1.0 KiB
Python
#!/usr/bin/env python
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# Copyright (c) 2016 Hewlett Packard Enterprise Development Company, L.P.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"); you may
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# not use this file except in compliance with the License. You may obtain
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# a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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# License for the specific language governing permissions and limitations
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# under the License.
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import numpy as np
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from monasca_analytics.sml import svm_one_class as svm
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class MockClassifier(object):
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def __init__(self, predict_anomaly=False):
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self._predict_anomaly = predict_anomaly
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self.predict_cnt = 0
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def predict(self, _):
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self.predict_cnt += 1
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if self._predict_anomaly:
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return np.array([svm.ANOMALY])
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return np.array([svm.NON_ANOMALY])
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