use a classifier that can't handle string data as

an inner classifier in some stacked model, for example

.. contents::

.. section-numbering::

Installation

.. code-block:: bash

pip install skutil

Basic Use

skutil is divided into several sub-modules by functionality:

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).

model_selection

ConstrainedParameterGrid - Grid of discrete-valued parameters with constraints.

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.

Installing for development

Clone:

.. code-block:: bash

git clone git@github.com:shaypal5/skutil.git

Install in development mode, and with test dependencies:

.. code-block:: bash

cd skutil
pip install -e ".[test]"

Running the tests

To run the tests use:

.. code-block:: bash

cd skutil
pytest

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.

.. _numpy docstring conventions: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt
.. _these conventions: https://github.com/numpy/numpy/blob/master/doc/HOWTO_DOCUMENT.rst.txt