alphared 0.1.0

A lightweight SDK for logging ML experiments to AlphaRed.

AlphaRed SDK

A lightweight, professional SDK for logging machine learning experiments to the AlphaRed platform.

Features

• 🚀 Real-time Metrics: Log loss, accuracy, and custom metrics in the background.
• 📊 Auto-Telemetry: Automatically track CPU, RAM, and Disk metrics.
• ⚡ Non-blocking: Multi-threaded logging ensures your training script speed isn't affected.

Installation

pip install alphared

Quick Start

import alphared

# Initialize the project
alphared.init(project="my-mnist-project")

# Your training loop
for epoch in range(10):
    # ... training logic ...
    alphared.log({"epoch": epoch, "loss": 0.5, "accuracy": 0.85})

# Finalize the run
alphared.finish()