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# Copyright 2020 Huawei Technologies Co., Ltd
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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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# ============================================================================
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"""hub config."""
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from src.config import WideDeepConfig
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from src.wide_and_deep import PredictWithSigmoid, WideDeepModel
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def get_WideDeep_net(config):
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"""
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Get network of wide&deep model.
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"""
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WideDeep_net = WideDeepModel(config)
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eval_net = PredictWithSigmoid(WideDeep_net)
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return eval_net
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def create_network(name, *args, **kwargs):
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if name == 'wide_and_deep':
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wide_deep_config = WideDeepConfig()
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eval_net = get_WideDeep_net(wide_deep_config)
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return eval_net
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raise NotImplementedError(f"{name} is not implemented in the repo")
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# Copyright 2020 Huawei Technologies Co., Ltd
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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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# ============================================================================
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"""hub config."""
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from src.config import WideDeepConfig
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from src.wide_and_deep import PredictWithSigmoid, WideDeepModel
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def get_WideDeep_net(config):
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"""
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Get network of wide&deep model.
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"""
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WideDeep_net = WideDeepModel(config)
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eval_net = PredictWithSigmoid(WideDeep_net)
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return eval_net
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def create_network(name, *args, **kwargs):
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if name == 'wide_and_deep_multitable':
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wide_deep_config = WideDeepConfig()
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eval_net = get_WideDeep_net(wide_deep_config)
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return eval_net
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raise NotImplementedError(f"{name} is not implemented in the repo")
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