feature-engine/feature_engine issues and pull requests

#851 - ValueError: Length mismatch: Expected axis has 0 elements, new values have 10 elements

Issue - State: open - Opened by lukaspistelak 1 day ago

#850 - Add discrete uniform distribution to ProbeFeatureSelection

Pull Request - State: open - Opened by solegalli 15 days ago

#849 - Feature engine docstring not rendering correctly

Issue - State: closed - Opened by 4Freye 16 days ago - 2 comments

#848 - expand probe features selection to some how account for the dispersion when selecting features

Issue - State: open - Opened by solegalli 16 days ago

#847 - expand probe feature selection to compare discrete variables to discrete probes and continuous variables to continuous probes

Issue - State: open - Opened by solegalli 16 days ago

#846 - expand probe feature selection to add discrete probes

Issue - State: open - Opened by solegalli 16 days ago - 1 comment

#845 - expand probe feature selection to derive importance with additional methods

Issue - State: open - Opened by solegalli 16 days ago

#844 - in RFA and RFE allow selection of different models for feature ranking and feature selection

Issue - State: open - Opened by solegalli 16 days ago

#843 - an add additional ranking methods, like correlation, F-statistics and MI to RFE and RFA

Issue - State: open - Opened by solegalli 16 days ago

#842 - add functionality to select features based of embedded methods and mutual information to SmartCorrelatedSelection

Issue - State: open - Opened by solegalli 16 days ago

#841 - add reference to shuffle_features.py

Pull Request - State: open - Opened by solegalli 17 days ago

#840 - update reference probe_feature_selection.py

Pull Request - State: open - Opened by solegalli 17 days ago

#839 - release 1.8.3

Pull Request - State: closed - Opened by solegalli 28 days ago - 1 comment

#838 - modify sklearn versions

Pull Request - State: closed - Opened by solegalli 28 days ago - 2 comments

#837 - enable testing of different scikit-learn versions

Pull Request - State: closed - Opened by solegalli 29 days ago - 1 comment

#836 - make transformation module compatible with sklearn_tags

Pull Request - State: closed - Opened by ClaudioSalvatoreArcidiacono 30 days ago - 1 comment

#835 - make wrappers module compatible

Pull Request - State: closed - Opened by ClaudioSalvatoreArcidiacono about 1 month ago - 1 comment

#834 - make time_series module compatible

Pull Request - State: closed - Opened by ClaudioSalvatoreArcidiacono about 1 month ago - 1 comment

#833 - add sklearn_tags

Pull Request - State: closed - Opened by solegalli about 1 month ago - 5 comments

#832 - How does OneHotEncoder handle difference in categories in variable names? Currently a mismatch in shape?

Issue - State: open - Opened by Morgan-Sell about 1 month ago

#831 - Add __sklearn_tags__ method to all transformers to be compatible with sklearn pipeline

Issue - State: closed - Opened by Morgan-Sell about 1 month ago - 9 comments

#830 - why it’s not possible to use n_jobs = n, like in scikit-learn

Issue - State: open - Opened by lukaspistelak 2 months ago - 7 comments

#829 - Add `PandasCategoricalEncoder`

Pull Request - State: open - Opened by ClaudioSalvatoreArcidiacono 3 months ago

#828 - Feature Request: Add `PandasCategoricalEncoder` to encode categorical features as pandas categorical

Issue - State: open - Opened by ClaudioSalvatoreArcidiacono 3 months ago - 3 comments

#827 - Implement Correlation with target as a selection method in `SmartCorrelatedSelection`

Pull Request - State: open - Opened by ClaudioSalvatoreArcidiacono 3 months ago - 2 comments

#826 - Feature Request: Add Correlation with target as selection method for `SmartCorrelatedSelection`

Issue - State: open - Opened by ClaudioSalvatoreArcidiacono 3 months ago - 2 comments

#825 - Improve SmartCorrelatedSelector consistency with ties

Pull Request - State: open - Opened by ClaudioSalvatoreArcidiacono 3 months ago - 1 comment

#824 - `SmartCorrelatedSelection` does not behave consistently on different hardware with highly correlated features

Issue - State: open - Opened by ClaudioSalvatoreArcidiacono 3 months ago - 5 comments

#823 - update link to fsml book

Pull Request - State: closed - Opened by solegalli 3 months ago - 1 comment

#822 - release 1.8.2

Pull Request - State: closed - Opened by solegalli 4 months ago - 2 comments

#821 - expand forecasting features user guide index

Pull Request - State: closed - Opened by gurjinderbassi 4 months ago - 2 comments

#820 - Fixed default param value for DecisionTreeEncoder.

Pull Request - State: closed - Opened by michaelrussell4 4 months ago - 1 comment

#819 - DecisionTreeEncoder default value mismatch with Docs

Issue - State: closed - Opened by michaelrussell4 4 months ago - 1 comment

#818 - Add DatetimeOrdinal

Issue - State: open - Opened by michaelrussell4 4 months ago - 10 comments

#817 - add MRMR feature selector

Pull Request - State: closed - Opened by solegalli 5 months ago - 2 comments

#816 - ImportError: cannot import name '_fit_context' from 'sklearn.base'

Issue - State: closed - Opened by sali316 5 months ago - 1 comment
Labels: question

#815 - OptionError: No such keys(s): 'future.no_silent_downcasting' when using the sample code from the documentation for MeanMedianImputer

Issue - State: closed - Opened by tteodorescu0 5 months ago - 2 comments

#814 - LagFeatures not working properly?

Issue - State: closed - Opened by nezirspanca 5 months ago - 1 comment
Labels: question

#813 - Update base_imputer.py

Pull Request - State: open - Opened by Astha0024 5 months ago - 2 comments

#812 - Sklearn Pipeline breaks

Issue - State: closed - Opened by AmMoPy 5 months ago - 3 comments
Labels: question

#811 - add tz aware columns to variable handling functions

Pull Request - State: closed - Opened by jccalvojackson 5 months ago - 1 comment

#810 - `_is_categorical_and_is_datetime` with no default value

Issue - State: closed - Opened by jccalvojackson 6 months ago - 2 comments