{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"},{"label":"Database","url":"https://skillfed.io/packages/category/database/4"}],"enrichment":{"capability":"Dask-ML provides distributed and parallel machine learning by integrating Dask with scikit-learn, XGBoost, and other ML libraries to scale training and inference across clusters.","skillfed_tags":["distributed-computing","hyperparameter-tuning"],"use_cases":["Hyperparameter tuning on large datasets using distributed search across a Dask cluster.","Training models on data that exceeds available RAM by distributing work across cluster nodes.","Scaling machine learning pipelines to production workloads without rewriting code for a different framework.","Integrating distributed gradient boosting into a Dask workflow for multi-node model training."],"what_it_does":"Dask-ML bridges single-machine machine learning libraries and distributed computing by wrapping popular ML tools to run on Dask clusters. It allows you to train models on datasets larger than a single machine's memory and parallelize hyperparameter search across many nodes.\n\nThe package integrates with dask, distributed, and dask-glm for cluster coordination and specialized algorithms. It exposes familiar APIs so you can often swap in Dask-ML versions with minimal code changes. It depends on numpy, pandas, scipy, numba, multipledispatch, and packaging to handle numerical operations and dependency management.","worth_installing":"Yes, if you need to scale machine learning workflows to multi-node clusters and are comfortable with Dask's distributed computing model. Low install friction and permissive license make it accessible. However, note the aging maintenance status\u2014last release was February 2025\u2014so verify that the version meets your stability and security requirements before adopting in new production systems."},"id":"dask-ml","links":{"html":"https://skillfed.io/packages/dask-ml","md":"https://skillfed.io/packages/dask-ml.md","pypi":"https://pypi.org/project/dask-ml/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-02-08","license_spdx":null,"license_treatment":"permissive","name":"dask-ml","python_support":"supports_current","summary":"A library for distributed and parallel machine learning"},"popularity":{"monthly_downloads":119586,"position":12062,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2025.1.0"}