Welcome to the Brane Scikit-learn package 👋

This repository contains a package for BRANE that runs multiple functions from the SciKit libary.

Install

brane import tomwassing/brane-scikit-learn

Requirements

• Scikit-learn
• Yaml
• numpy

Usage

Variable Name	Input (Data)	Output (Data)	Description
pca_fit_transform	Input (string) N_components (string)	Output (string)	Performs PCA on the provided data and returns the transformed data.
normalize	Input (string)	Output (string)	Scales input vectors individually to unit form
simple_inputer	Input (string) strategy (string) fill_value (string)	Output (string)	Function provides ways of dealing with various missing values, uses the strategy specified by the user.
load_boston load_iris load_diabetes load_digits load_linnerud load_wine load_breast_cancer	load_boston load_iris load_diabetes load_digits load_linnerud load_wine load_breast_cancer	Output (string)	Provides acces to the various stable datasets provided by scikit-learn.

Run tests

python3 -m pytest

Authors

👤 Jurre J. Brandsen, Sander J. Misdorp, Tom J. Wassing

• Github: @JurreBrandsen1709
• Github: @TomWassing
• Github: @SanderJan2

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