v0.3.0 Now Available
Documentation
Learn how to use mlcli to train, evaluate, and manage machine learning models from the command line with ease.
Getting Started
Install mlcli and run your first training job in minutes.
Configuration
Learn about config files, environment variables, and customization.
Trainers
Explore 15+ model trainers from scikit-learn, XGBoost, and TensorFlow.
Preprocessing
Data preprocessing pipelines, scalers, encoders, and feature selection.
Experiment Tracking
Track experiments, compare runs, log metrics, and visualize results.
Model Explainability
Understand your models with SHAP, LIME, and feature importance.
Quick Install
Get started with mlcli in seconds. Install via pip and you're ready to train your first model.
$ pip install mlcli-toolkitGet StartedNeed Help?
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