项目作者: LambertOSU

项目描述 :
Classes for initial evaluation of scikit-learn predictors.
高级语言: Jupyter Notebook
项目地址: git://github.com/LambertOSU/sklhelper.git
创建时间: 2018-02-11T21:18:05Z
项目社区:https://github.com/LambertOSU/sklhelper

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sklhelper

This repository contains helper classes for the initial evaluation of scikit-learn predictors. It is based on a previously constructed Notebook and is currently in development.

sklhelpClassify - This class imports a pandas DataFrame and performs a k-fold validation test on various scikit-learn classifiers using predefined parameters and reports ranked results.

Method Description
get_data(df) Imports a pandas DataFrame.
set_target(name) Defines the name of the column to be predicted.
kfold() Runs a k-fold validation test. Default k=5.
ranked_summary() Reports mean, median, and standard deviation for all models, ranked by mean.
report() View all simulation results.