13. Helpers¶
13.1. miplearn.io¶
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miplearn.io.gzip(filename: str) → None¶
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miplearn.io.read_pkl_gz(filename: str) → Any¶
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miplearn.io.write_pkl_gz(objs: List[Any], dirname: str, prefix: str = '', n_jobs: int = 1, progress: bool = False) → List[str]¶
13.2. miplearn.h5¶
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class
miplearn.h5.H5File(filename: str, mode: str = 'r+')¶ Bases:
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close()¶
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get_array(key: str) → Optional[numpy.ndarray]¶
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get_bytes(key: str) → Optional[Union[bytes, bytearray]]¶
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get_scalar(key: str) → Optional[Any]¶
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get_sparse(key: str) → Optional[scipy.sparse.coo.coo_matrix]¶
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put_array(key: str, value: Optional[numpy.ndarray]) → None¶
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put_bytes(key: str, value: Union[bytes, bytearray]) → None¶
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put_scalar(key: str, value: Any) → None¶
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put_sparse(key: str, value: scipy.sparse.coo.coo_matrix) → None¶
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