skutil 0.0.19

Utilities for scikit-learn.

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

Contents

• 1 Installation

• 2 Basic Use

  • 2.1 estimators

  • 2.2 model_selection

• 3 Contributing

  • 3.1 Installing for development

  • 3.2 Running the tests

  • 3.3 Adding documentation

• 4 Credits

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 ([e-mail]); You are more than welcome to approach him for help. Contributions are very welcomed.

3.1 Installing for development

Clone:

git clone [e-mail]: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 ([e-mail]).