kellyml 0.1.5

Lightweight ML helpers for preprocessing and evaluation

MLToolkit

A lightweight ML helper package for preprocessing, splitting, evaluation, and simple model wrappers.

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Features

• Preprocessing: scaling, encoding, outlier handling, SMOTE
• Dataset splitting: load and save dataset, train/validation/test with random, time-based, target and feature split
• Evaluation: classification, regression, clustering, anomaly
• Models: simple wrappers for scikit-learn (KNN, regression, clustering)

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Installation

#1. Clone the repository git clone https://github.com/kellykoty/kellyml.git cd kellyml

#2. Install dependencies and activate the virtual environment poetry install poetry shell