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ModelZoo
ResNet50_tensorflow
Commits
1e3ca88a
Unverified
Commit
1e3ca88a
authored
Jun 04, 2018
by
Taylor Robie
Committed by
GitHub
Jun 04, 2018
Browse files
add license headers (#4444)
parent
1f2c317e
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official/boosted_trees/data_download.py
official/boosted_trees/data_download.py
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official/boosted_trees/train_higgs.py
official/boosted_trees/train_higgs.py
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official/boosted_trees/data_download.py
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1e3ca88a
# Copyright 2018 The TensorFlow 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.
# ==============================================================================
"""Downloads the UCI HIGGS Dataset and prepares train data.
The details on the dataset are in https://archive.ics.uci.edu/ml/datasets/HIGGS
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official/boosted_trees/train_higgs.py
View file @
1e3ca88a
# Copyright 2018 The TensorFlow 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.
# ==============================================================================
r
"""A script that builds boosted trees over higgs data.
If you haven't, please run data_download.py beforehand to prepare the data.
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