Your message dated Wed, 3 Jun 2020 22:45:06 +0800 with message-id <CAM6iwbemxn_pxNY+-8b7H8DjVzruKPq39HJkF3U8aphQT+6UZg@mail.gmail.com> and subject line duplication with https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=958072 has caused the Debian Bug report #962129, regarding ITP: xgboost -- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more to be marked as done. This means that you claim that the problem has been dealt with. If this is not the case it is now your responsibility to reopen the Bug report if necessary, and/or fix the problem forthwith. (NB: If you are a system administrator and have no idea what this message is talking about, this may indicate a serious mail system misconfiguration somewhere. Please contact owner@bugs.debian.org immediately.) -- 962129: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=962129 Debian Bug Tracking System Contact owner@bugs.debian.org with problems
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- To: submit@bugs.debian.org
- Subject: ITP: xgboost -- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more
- From: zhao feng <zhaofengshu33@gmail.com>
- Date: Wed, 3 Jun 2020 22:18:30 +0800
- Message-id: <[🔎] CAM6iwbffq4+t0+JnQ6-oJ9tdfX2d7EE3bkLPx5nJVe-BX5-84A@mail.gmail.com>
- In-reply-to: <CAM6iwberJSVNxW3fxpW8-j5J+akeKXpZju063+_fxEKXdotr3Q@mail.gmail.com>
- References: <CAM6iwberJSVNxW3fxpW8-j5J+akeKXpZju063+_fxEKXdotr3Q@mail.gmail.com>
Package: wnpp Severity: wishlist Owner: zhaofeng <zhaofengshu33@gmail.com> X-Debbugs-Cc: debian-devel@lists.debian.org, debian-science@lists.debian.org * Package name : xgboost Version : 1.1.0 Upstream Author : <tqchen@cs.washington.edu> * URL : http://www.xgboost.ai/ * License : Apache-2.0 Programming Lang: C++, Python Description : Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solve many data science problems in a fast and accurate way. The same code runs on major distributed environment (Hadoop, SGE, MPI) and can solve problems beyond billions of examples. XGBoost is useful in Data Science, Machine Learning and related area. I suggest the package should be maintained within DebianScience/Statistics if adopted and I am planning to package it. Co-maintainers are welcome.
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--- Begin Message ---
- To: 962129-done@bugs.debian.org
- Subject: duplication with https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=958072
- From: zhao feng <zhaofengshu33@gmail.com>
- Date: Wed, 3 Jun 2020 22:45:06 +0800
- Message-id: <CAM6iwbemxn_pxNY+-8b7H8DjVzruKPq39HJkF3U8aphQT+6UZg@mail.gmail.com>
X-CrossAssassin-Score: 17129
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