Open-source platform for managing the ML lifecycle, developed by Databricks
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Offering: A unified cloud-based platform for data engineering, data warehousing, and machine learning model development built on an open-source storage layer.
Best for: Data engineers and data scientists building scalable pipelines, generative AI models, and real-time analytics on a unified infrastructure.
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arXiv:2502.14693v2 [cs.CL] 21 Feb 2025
by Z Liang · 2025 · Cited by 13 — OpenML datasets can be accessed using their respective dataset IDs. ... Includes version control and experiment tracking (e.g ., MLflow).
Automating Code Adaptation for MLOps
To adapt an existing code for model registration using MLflow library, one must initialize a new MLflow run using mlflow.start_run() and ...
DataLens: ML-Oriented Interactive Tabular Data Quality ...
DataLens integrates with ML tracking tools like MLflow for seamless tracking of data quality experiments, models, and results, offering a ...
Expected fields and columns in this data product
MLflow is a machine learning data product offered by Databricks U.K Limited, available on discovery. Data is updated real-time. API access is available for programmatic integration. It is listed as free.
Open-source platform for managing the ML lifecycle, developed by Databricks