Perpetual ML

Perpetual ML Suite empowers machine learning and data science teams with a suite of tools to improve the MLOps lifecycle. It brings state-of-the-art machine learning and decision science to where your data lives.

Features: - Integrated Marimo notebooks (upcoming) - Easy data preview - Automated descriptive analytics - Automated data quality checks - Automated model training with PerpetualBooster: github.com/perpetual-ml/perpetual     * The top-performing algorithm on the AutoML benchmark     * Designed for large-scale datasets - Experiment tracking - Automated full predictive distribution without retraining to optimize user defined business objective for the optimal business decisioning - Automated model deployment     * Batch inference     * Real-time inference - Automated model metric monitoring - Automated drift detection (alert based on your significance threshold)     * Data drift without retraining     * Concept drift without retraining and without ground truth - Automated continual learning after drift detection (don't throw away old model) - Model registry - Easy compute pool and warehouse management