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usaitousaito
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Merge pull request #158 from st-tech/update-version
update version to 0.5.3
2 parents 628c8c8 + 674f4d8 commit c25bd6f

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9 files changed

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-29
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‎examples/quickstart/multiclass.ipynb

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"0.5.2\n"
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‎examples/quickstart/obd.ipynb

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‎examples/quickstart/online.ipynb

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‎examples/quickstart/opl.ipynb

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"name": "stderr",
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"text": [
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"q-func learning: 100%|██████████| 200/200 [00:17<00:00, 11.40it/s]\n",
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"policy learning: 100%|██████████| 200/200 [00:48<00:00, 4.12it/s]\n"
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"q-func learning: 100%|██████████| 200/200 [00:19<00:00, 10.51it/s]\n",
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"policy learning: 100%|██████████| 200/200 [00:47<00:00, 4.23it/s]\n"
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"policy learning: 100%|██████████| 200/200 [00:40<00:00, 4.88it/s]\n"
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"policy learning: 100%|██████████| 200/200 [00:52<00:00, 3.79it/s]\n"
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"q-func learning: 100%|██████████| 200/200 [00:16<00:00, 11.78it/s]\n",
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"policy learning: 100%|██████████| 200/200 [00:47<00:00, 4.20it/s]\n"
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"q-func learning: 100%|██████████| 200/200 [00:20<00:00, 9.80it/s]\n",
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"policy learning: 100%|██████████| 200/200 [00:54<00:00, 3.64it/s]\n"
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‎examples/quickstart/synthetic.ipynb

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‎examples/quickstart/synthetic_slate.ipynb

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‎obp/policy/offline.py

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solver: str = "adam"
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alpha: float = 0.0001
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batch_size: Union[int, str] = "auto"
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learning_rate_init: float = 0.001
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learning_rate_init: float = 0.0001
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max_iter: int = 200
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shuffle: bool = True
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random_state: Optional[int] = None
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solver: str = "adam"
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learning_rate_init: float = 0.001
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learning_rate_init: float = 0.0001
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‎obp/policy/offline_continuous.py

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learning_rate_init: float = 0.001
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learning_rate_init: float = 0.0001
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learning_rate_init: float = 0.0001
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‎obp/version.py

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__version__ = "0.5.2"
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__version__ = "0.5.3"

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