Utilities for scikit-learn.
Project description
Utilities for scikit-learn.
from skutil.estimators import ColumnIgnoringClassifier
# use a classifier that can't handle string data as
# an inner classifier in some stacked model, for example
1 Installation
pip install skutil
2 Basic Use
skutil is divided into several sub-modules by functionality:
2.1 estimators
ColumnIgnoringClassifier - An sklearn classifier wrapper that ignores input columns by index.
ObjColIgnoringClassifier - An sklearn classifier wrapper that ignores object columns in dataframes.
classifier_cls_by_name - Get an sklearn classifier class by name. Also supports lowercasing and some shorthands (e.g. svm for SVC, logreg and lr for LogisticRegression).
2.2 model_selection
ConstrainedParameterGrid - Grid of discrete-valued parameters with constraints.
3 Contributing
Package author and current maintainer is Shay Palachy (shay.palachy@gmail.com); You are more than welcome to approach him for help. Contributions are very welcomed.
3.1 Installing for development
Clone:
git clone git@github.com:shaypal5/skutil.git
Install in development mode, and with test dependencies:
cd skutil
pip install -e ".[test]"
3.2 Running the tests
To run the tests use:
cd skutil
pytest
3.3 Adding documentation
The project is documented using the numpy docstring conventions, which were chosen as they are perhaps the most widely-spread conventions that are both supported by common tools such as Sphinx and result in human-readable docstrings. When documenting code you add to this project, follow these conventions.
4 Credits
Created by Shay Palachy (shay.palachy@gmail.com).
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