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Passthrough

This file is part of the TPOT library.

The current version of TPOT was developed at Cedars-Sinai by: - Pedro Henrique Ribeiro (https://github.com/perib, https://www.linkedin.com/in/pedro-ribeiro/) - Anil Saini (anil.saini@cshs.org) - Jose Hernandez (jgh9094@gmail.com) - Jay Moran (jay.moran@cshs.org) - Nicholas Matsumoto (nicholas.matsumoto@cshs.org) - Hyunjun Choi (hyunjun.choi@cshs.org) - Gabriel Ketron (gabriel.ketron@cshs.org) - Miguel E. Hernandez (miguel.e.hernandez@cshs.org) - Jason Moore (moorejh28@gmail.com)

The original version of TPOT was primarily developed at the University of Pennsylvania by: - Randal S. Olson (rso@randalolson.com) - Weixuan Fu (weixuanf@upenn.edu) - Daniel Angell (dpa34@drexel.edu) - Jason Moore (moorejh28@gmail.com) - and many more generous open-source contributors

TPOT is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

TPOT is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with TPOT. If not, see http://www.gnu.org/licenses/.

Passthrough

Bases: TransformerMixin, BaseEstimator

A transformer that does nothing. It just passes the input array as is.

Source code in tpot/builtin_modules/passthrough.py 
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class Passthrough(TransformerMixin,BaseEstimator):
    """
    A transformer that does nothing. It just passes the input array as is.
    """

    def fit(self, X=None, y=None):
        """
        Nothing to fit, just returns self.
        """
        return self

    def transform(self, X):
        """
        returns the input array as is.
        """
        return X

fit(X=None, y=None)

Nothing to fit, just returns self.

Source code in tpot/builtin_modules/passthrough.py 
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def fit(self, X=None, y=None):
    """
    Nothing to fit, just returns self.
    """
    return self

transform(X)

returns the input array as is.

Source code in tpot/builtin_modules/passthrough.py 
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def transform(self, X):
    """
    returns the input array as is.
    """
    return X

SkipTransformer

Bases: TransformerMixin, BaseEstimator

A transformer returns an empty array. When combined with FeatureUnion, it can be used to skip a branch.

Source code in tpot/builtin_modules/passthrough.py 
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class SkipTransformer(TransformerMixin,BaseEstimator):
    """
    A transformer returns an empty array. When combined with FeatureUnion, it can be used to skip a branch.
    """
    def fit(self, X=None, y=None):
        """
        Nothing to fit, just returns self.
        """
        return self

    def transform(self, X):
        """
        returns an empty array.
        """
        return np.array([]).reshape(X.shape[0],0)

fit(X=None, y=None)

Nothing to fit, just returns self.

Source code in tpot/builtin_modules/passthrough.py 
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def fit(self, X=None, y=None):
    """
    Nothing to fit, just returns self.
    """
    return self

transform(X)

returns an empty array.

Source code in tpot/builtin_modules/passthrough.py 
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def transform(self, X):
    """
    returns an empty array.
    """
    return np.array([]).reshape(X.shape[0],0)