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Dtree_pd - A Python decision tree using Pandas DataFrames

Overview

Given a training data set, it constructs a decision tree for classification or regression recursively.

It accepts data in a python Pandas DataFrame format.

The module is loosely based on code published by Christopher Roach in his article Building Decision Trees in Python.

Installation

TBD

Usage

TBD

Features

  • building a classification or regression tree using batch or incremental/online methods

Todo

Package details yet to be completed Currently not optimized for large datasets (Probably an issue with the normalization of entropy)

History

0.1.0 - 2017.01.24 Forked from dtree.

0.2.0 - 2020.01.09 First push with framework.

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A simple pure-Python decision tree construction algorithm

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  • Python 99.9%
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