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Runtime Machine Learning

Ambiente di machine learning ottimizzato pronto all'uso

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Machine Learning Runtime (MLR) offre a data scientist e tecnici ML cluster scalabili che comprendono i framework più diffusi, AutoML integrato e ottimizzazioni per prestazioni senza paragoni.

Vantaggi

Frameworks of Choice

ML Frameworks are evolving at a frenetic pace and practitioners need to manage on average 8 libraries. The ML Runtime provides one-click access to a reliable and performant distribution of the most popular ML frameworks, and custom ML environments via pre-built containers.

Augmented Machine Learning

Accelerate machine learning from data prep to inference with built-in AutoML capabilities including hyperparameter tuning and model search using Hyperopt and MLflow.

Simplified Scaling

Go from small to big data effortlessly with an auto-managed and scalable cluster infrastructure. The Machine Learning Runtime also includes unique performance improvements for the most popular algorithms as well as HorovodRunner, a simple API for distributed deep learning.

Funzioni

Come funziona

Machine Learning Runtime è basato su Databricks Runtime e viene aggiornato a ogni nuova release. È disponibile per tutte le offerte di prodotti Databricks, fra cui Azure Databricks, AWS cloud, cluster GPU e cluster CPU.

Per utilizzare ML Runtime basta selezionare la versione di ML del runtime quando si crea il cluster.

REFERENZA

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