matrix processing: special case
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@ -501,7 +501,10 @@ class Generator (Learner):
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N = 0
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N = 0
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for _iodf in _candidates :
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for _iodf in _candidates :
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_df = self._df.copy()
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_df = self._df.copy()
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if self.columns :
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_df[self.columns] = _iodf[self.columns]
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_df[self.columns] = _iodf[self.columns]
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N += _df.shape[0]
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N += _df.shape[0]
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if self._states and 'post' in self._states:
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if self._states and 'post' in self._states:
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_df = State.apply(_df,self._states['post'])
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_df = State.apply(_df,self._states['post'])
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2
setup.py
2
setup.py
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@ -4,7 +4,7 @@ import sys
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def read(fname):
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def read(fname):
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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return open(os.path.join(os.path.dirname(__file__), fname)).read()
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args = {"name":"data-maker","version":"1.6.6",
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args = {"name":"data-maker","version":"1.6.8",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vumc.org","license":"MIT",
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"author":"Vanderbilt University Medical Center","author_email":"steve.l.nyemba@vumc.org","license":"MIT",
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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"packages":find_packages(),"keywords":["healthcare","data","transport","protocol"]}
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args["install_requires"] = ['data-transport@git+https://github.com/lnyemba/data-transport.git','tensorflow']
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args["install_requires"] = ['data-transport@git+https://github.com/lnyemba/data-transport.git','tensorflow']
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