dmlc/xgboost

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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

10 mentions on Hacker News by 10 people: 6 stories, 4 comments · first 2015-04-24 · latest 2025-12-24

Mentions per year 10 mentions · busiest year 2016 (3)

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…people that read the article, so it's nice that now we can keep this in mind while using the model: https://github.com/dmlc/xgboost/issues/4069
comment by mariofilho · 2019-01-22 · in Can Gradient Boosting Learn Simple Arithmetic?
…two year old teaching material), but I'm almost certain the pull request will be merged. [1] https://github.com/dmlc/xgboost/blob/master/doc/model.md PS: If you don't do this, I'll call you tone-deaf and lazy. ;)
comment by walrus · 2016-04-05 · in Introduction to Boosted Trees [pdf]
…engineering is quite novel. A decent Winograd schema challenge would be pretty interesting. [1] https://github.com/dmlc/xgboost#whats-new
comment by nl · 2016-01-11 · in AMA: the OpenAI research team
…score. 5: Study the ensemble module of Scikit-learn. Try the examples on the wiki of XGBoost ( https://github.com/dmlc/xgboost/tree/master/demo/binary_clas... ) and Vowpal Wabbit ( http://zinkov.com/posts/2013-08-13-vowpal-tutorial/ ).…
comment by compbio · 2015-04-24 · in Ask HN: How does a beginner best spend one week of learning machine learning?