# kanyun-inc/ytk-learn

<https://repo.masters-masters.com/en/repos/kanyun-inc/ytk-learn>

[Home](https://repo.masters-masters.com/en) › [kanyun-inc](https://repo.masters-masters.com/en/owners/kanyun-inc) › [ytk-learn](https://repo.masters-masters.com/en/repos/kanyun-inc/ytk-learn)

kanyun-inc/ytk-learn has 349 stars on GitHub. Its RepoMasters card: Alpha tier. Ytk-learn is a distributed machine learning library which implements most of…

| Field | Value |
| --- | --- |
| Owner | [kanyun-inc](https://repo.masters-masters.com/en/owners/kanyun-inc) |
| Stars | 349 |
| Forks | 75 |
| Language | [Java](https://repo.masters-masters.com/en/languages/java) |
| License | MIT |
| Created | 2017 |
| Topics | machine-learning, distributed, gbm, gbdt, logistic-regression, factorization-machines, spark, hadoop |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [kanyun-inc/ytk-learn](https://github.com/kanyun-inc/ytk-learn) |

## Repository

Ytk-learn is a distributed machine learning library which implements most of popular machine learning algorithms(GBDT, GBRT, Mixture Logistic Regression, Gradient Boosting Soft Tree, Factorization Machines, Field-aware Factorization Machines, Logistic Regression, Softmax).

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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