mirror of https://github.com/kubeflow/examples.git
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
# Copyright 2018 Google Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain 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,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import joblib
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import numpy as np
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class HousingServe(object):
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def __init__(self, model_file='housing.dat'):
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"""Load the housing model using joblib."""
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self.model = joblib.load(model_file)
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def predict(self, X, feature_names):
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"""Predict using the model for given ndarray."""
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prediction = self.model.predict(data=X)
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print(feature_names)
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# added this temporarily to keep seldon happy
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# TODO: http://bit.ly/2Pvexmb
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return [[prediction.item(0), prediction.item(0)]]
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if __name__ == '__main__':
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serve = HousingServe()
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print(serve.predict(np.ndarray([1, 37]), None))
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