# databrickslabs/automl-toolkit

<https://repo.masters-masters.com/en/repos/databrickslabs/automl-toolkit>

[Home](https://repo.masters-masters.com/en) › [databrickslabs](https://repo.masters-masters.com/en/owners/databrickslabs) › [automl-toolkit](https://repo.masters-masters.com/en/repos/databrickslabs/automl-toolkit)

databrickslabs/automl-toolkit has 191 stars on GitHub. Its RepoMasters card: Prototype tier. Toolkit for Apache Spark ML for Feature clean-up, feature…

| Field | Value |
| --- | --- |
| Owner | [databrickslabs](https://repo.masters-masters.com/en/owners/databrickslabs) |
| Stars | 191 |
| Forks | 45 |
| Language | [HTML](https://repo.masters-masters.com/en/languages/html) |
| License | None |
| Created | 2019 |
| Topics | spark, feature-engineering, apache-spark, pyspark, scala, machinelearning, ml |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [databrickslabs/automl-toolkit](https://github.com/databrickslabs/automl-toolkit) |

## Repository

Toolkit for Apache Spark ML for Feature clean-up, feature Importance calculation suite, Information Gain selection, Distributed SMOTE, Model selection and training, Hyper parameter optimization and selection, Model interprability.

Archived: this repository is read-only

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.