Package: python3-sklearn-pandas (2.2.0-1.1)

[ Source: sklearn-pandas  ]

Pandas integration with sklearn (Python 3)

sklearn-pandas provides a bridge between scikit-learn's machine learning methods and pandas data frames.

In particular, it provides:

 - a way to map DataFrame columns to transformations, which are later
   recombined into features
 - a way to cross-validate a pipeline that takes a pandas DataFrame as input.

This is the Python 3 version of the package.

Other Packages Related to python3-sklearn-pandas

• dep: python3

  interactive high-level object-oriented language (default python3 version)

• dep: python3-numpy

  Fast array facility to the Python 3 language

• dep: python3-pandas

  data structures for "relational" or "labeled" data

• dep: python3-scipy

  scientific tools for Python 3

• dep: python3-sklearn

  Python modules for machine learning and data mining - Python 3

• enh: python3-pandas

  data structures for "relational" or "labeled" data

• enh: python3-sklearn

  Python modules for machine learning and data mining - Python 3

Download python3-sklearn-pandas

Download for all available architectures

Architecture	Package Size	Installed Size	Files
all	18.3 kB	57.0 kB	[list of files]