Morgan Sell

TargetMeanDiscretiser: sorts variables in bins and replaces bins by target mean value

19

Closes #394. The transformer accepts a dictionary that defines how numeric variables will be discretized/organized into bins. The transformer calculates and returns the average for the respective bins.

Create check_y_is_binary() check. Use in transformers in which the dependent variable must be binary.

2

Closes #413 Notes from #413: Many transformers in feature engine require that y is binary. At the moment we do this check within each transformer. We should create a function...

Information value for feature selection using weight of evidence (WoE)

19

Information value is a variable-selection method that is used with binary classifiers. Information value summarizes how much knowing `var_A` helps in predicting the dependent variable. feature-engine includes a WoE Encoder....

[Feature Creation] Decision tree creates a new feature by combining numerous variables

16

Closes #107 Notes from #107: New variables are created by combination of user indicated variables with decision trees. Example: if user passes 3 variables to transformer, a new feature will...

[New Transformer] ChiMergeDiscretisor

7

Closes #450. Notes from #450: Existing implementations: https://github.com/lisette-espin/pychimerge https://github.com/night18/ChiMerge https://github.com/raiyan1102006/ChiMerge https://gist.github.com/alanzchen/17d0c4a45d59b79052b1cd07f531689e?short_path=f2e54c6 Reference to the original article can be found in the first link

GuassianDistributionDiscretizer

7

**Is your feature request related to a problem? Please describe.** I'm developing a DigitalCommerceIndex class (in Python) that can rank U.S. counties on any continuous numeric variable. To do so,...

Feature Creation copy for API doc index.rst

10

Wrote copy for creation module API Docs index.rst. Copy achieved A++ content grade.

Add missing_only init param to all imputers. missing_only is used in combination w/ the variables param.

10

Closes #388. When `missing_only=True` and `variables=None`, all numerical variables that do **not** contain missing values will be omitted from `self.variables_`. This functionality does not apply to categorical variables.

OHE: User can select which categories to encoded for selected variables

4

Closes #303. **Objective:** Create functionality so a user can encode certain categories that may not be the most frequent. The functionality is explained in this [thread](https://stackoverflow.com/questions/65153240/categorical-data-encoder-for-unseen-data-in-python). Will create a new...

Limit the level of class inherintance to two.

2

**Is your feature request related to a problem? Please describe.** Currently, some feature-engine classes have more than two levels of inheritance, e.g. classes that are derived from the BaseRecursiveSelector() class....