Forestci | Anaconda.org

conda-forge / packages / forestci 0.6

0

calculate confidence intervals for scikit-learn random forest regression or classification objects

copied from cf-staging / forestci

License: MIT
Home: https://github.com/scikit-learn-contrib/forest-confidence-interval
Development: https://github.com/scikit-learn-contrib/forest-confidence-interval
Documentation: http://contrib.scikit-learn.org/forest-confidence-interval/
67978 total downloads
Last upload: 9 months and 1 day ago

Installers

Info: This package contains files in non-standard labels.

noarch v0.6
linux-64 v0.1
osx-64 v0.3
win-64 v0.3
win-32 v0.3

conda install

To install this package run one of the following:
conda install conda-forge::forestci
conda install conda-forge/label/cf201901::forestci
conda install conda-forge/label/cf202003::forestci

Description

a Python module for calculating variance and adding confidence intervals to scikit-learn random forest regression or classification objects. The core functions calculate an in-bag and error bars for random forest objects

conda-forge / packages / forestci 0.6 0

Installers

conda install

Description

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conda-forge / packages / forestci 0.6

0