mlsaver 0.0.2

A simple ML model versioning tool

MLSaver

MLSaver is a lightweight Python package that lets you version-control your machine learning models locally — similar to Git, but for ML experiments.

---

✨ Features

• Save trained models with simple commands
• Load previous model versions instantly
• List all saved versions
• Delete unwanted versions
• Prints model info
• Works locally — no extra setup, no cloud required

---

🧠 Installation

pip install MLSaver

⚙️ Importing MLSaver

Import the class into your project:

from mlsaver import MLSaver

Then create an instance:

saver = MLSaver()

⚙️ Methods

Method	Description	Example
commit(model, "v1")	Save a trained model with a version name.	saver.commit(model, "v1")
checkout("v1")	Load a previously saved model.	model = saver.checkout("v1")
log()	List all saved versions.	saver.log()
delete("v1")	Delete a saved version.	saver.delete("v1")
rename("v1", "v1_fixed")	Rename an existing version.	saver.rename("v1", "v1_fixed")
info("v1")	Show detailed info about a version (size, date, hyperparameters).	saver.info("v1")
clear()	Delete all saved versions (with confirmation).	saver.clear()