Imputer
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) - 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/.
ColumnSimpleImputer
¶
Bases: BaseEstimator
, TransformerMixin
Source code in tpot2/builtin_modules/imputer.py
__init__(columns='all', missing_values=np.nan, strategy='mean', fill_value=None, copy=True, add_indicator=False, keep_empty_features=False)
¶
" A wrapper for SimpleImputer that allows for imputation of specific columns in a DataFrame or np array. Passes through columns that are not imputed.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
columns |
(str, list)
|
Determines which columns to impute with sklearn.impute.SimpleImputer. - 'categorical' : Automatically select categorical features - 'numeric' : Automatically select numeric features - 'all' : Select all features - list : A list of columns to select |
'all'
|
missing_values |
|
nan
|
|
strategy |
|
nan
|
|
fill_value |
|
nan
|
|
copy |
|
nan
|
|
add_indicator |
|
nan
|
|
keep_empty_features |
|
nan
|