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- #
- # Copyright 2019 The FATE Authors. All Rights Reserved.
- #
- # Licensed 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 unittest
- from federatedml.optim.initialize import Initializer
- from federatedml.param import InitParam
- from federatedml.util import consts
- import numpy as np
- class TestInitialize(unittest.TestCase):
- def test_initializer(self):
- initializer = Initializer()
- data_shape = 10
- init_param_obj = InitParam(init_method=consts.RANDOM_NORMAL,
- init_const=20,
- fit_intercept=False
- )
- model = initializer.init_model(model_shape=data_shape, init_params=init_param_obj)
- model_shape = np.array(model).shape
- self.assertTrue(model_shape == (10,))
- if __name__ == '__main__':
- unittest.main()
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