luma-ml 0.7.5

A Comprehensive Python Module for Machine Learning and Data Science

LUMA

A Comprehensive Python Module for Machine Learning and Data Science

Submodules

Name	Description
luma.classifier	Toolkit for classification models including various algorithms.
luma.clustering	Focuses on unsupervised learning and clustering algorithms.
luma.core	Foundational backbone providing essential data structures and utilities.
luma.ensemble	Ensemble learning methods for improved model performance.
luma.interface	Protocols and custom data types for internal use within LUMA.
luma.metric	Performance metrics for evaluating machine learning models.
luma.migrate	Import and export of machine learning models within LUMA.
luma.model_selection	Tools for model selection and hyperparameter tuning.
luma.neural	Deep learning models and neural network utilities.
luma.pipe	Creating and managing machine learning pipelines.
luma.preprocessing	Data preprocessing functions for machine learning tasks.
luma.reduction	Dimensionality reduction techniques for high-dimensional datasets.
luma.regressor	Comprehensive range of regression algorithms.
luma.visual	Tools for model visualization and data plotting.

Structure

Others

Latest Version	0.7.5
Lines of Code	~21K
Requirement	Python 3.12 or later
Dependencies	NumPy, SciPy, Pandas, Matplotlib, Seaborn
Documentation	LUMA Notion Document