xgboost.fork
Science Score: 54.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.6%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: MikhailSporyshev
- License: apache-2.0
- Language: C++
- Default Branch: my_branch
- Size: 15.7 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
eXtreme Gradient Boosting
Community | Documentation | Resources | Contributors | Release Notes
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 (Kubernetes, Hadoop, SGE, MPI, Dask) and can solve problems beyond billions of examples.
License
© Contributors, 2019. Licensed under an Apache-2 license.
Contribute to XGBoost
XGBoost has been developed and used by a group of active community members. Your help is very valuable to make the package better for everyone. Checkout the Community Page.
Reference
- Tianqi Chen and Carlos Guestrin. XGBoost: A Scalable Tree Boosting System. In 22nd SIGKDD Conference on Knowledge Discovery and Data Mining, 2016
- XGBoost originates from research project at University of Washington.
Sponsors
Become a sponsor and get a logo here. See details at Sponsoring the XGBoost Project. The funds are used to defray the cost of continuous integration and testing infrastructure (https://xgboost-ci.net).
Open Source Collective sponsors
Sponsors
Backers
Other sponsors
The sponsors in this list are donating cloud hours in lieu of cash donation.
Owner
- Login: MikhailSporyshev
- Kind: user
- Repositories: 1
- Profile: https://github.com/MikhailSporyshev
Citation (CITATION)
@inproceedings{Chen:2016:XST:2939672.2939785,
author = {Chen, Tianqi and Guestrin, Carlos},
title = {{XGBoost}: A Scalable Tree Boosting System},
booktitle = {Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
series = {KDD '16},
year = {2016},
isbn = {978-1-4503-4232-2},
location = {San Francisco, California, USA},
pages = {785--794},
numpages = {10},
url = {http://doi.acm.org/10.1145/2939672.2939785},
doi = {10.1145/2939672.2939785},
acmid = {2939785},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {large-scale machine learning},
}
GitHub Events
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Dependencies
- R >= 3.3.0 depends
- Matrix >= 1.1 imports
- data.table >= 1.9.6 imports
- magrittr >= 1.5 imports
- methods * imports
- stringi >= 0.5.2 imports
- Ckmeans.1d.dp >= 3.3.1 suggests
- DiagrammeR >= 0.9.0 suggests
- float * suggests
- ggplot2 >= 1.0.1 suggests
- igraph >= 1.0.1 suggests
- jsonlite * suggests
- knitr * suggests
- lintr * suggests
- rmarkdown * suggests
- testthat * suggests
- vcd >= 1.3 suggests
- centos 6 build
- com.esotericsoftware:kryo 4.0.2
- commons-logging:commons-logging 1.2
- org.scala-lang:scala-compiler 2.12.8
- org.scala-lang:scala-library 2.12.8
- org.scala-lang:scala-reflect 2.12.8
- org.scalactic:scalactic_2.12 3.0.8 test
- org.scalatest:scalatest_2.12 3.0.8 test
- com.typesafe.akka:akka-actor_${scala.binary.version} 2.5.23 compile
- org.apache.hadoop:hadoop-common ${hadoop.version} provided
- org.apache.hadoop:hadoop-hdfs ${hadoop.version} provided
- com.typesafe.akka:akka-testkit_${scala.binary.version} 2.5.23 test
- junit:junit 4.11 test
- org.apache.spark:spark-mllib_${scala.binary.version} ${spark.version} provided
- ml.dmlc:xgboost4j-flink_${scala.binary.version} 1.2.0-SNAPSHOT
- ml.dmlc:xgboost4j-spark_${scala.binary.version} 1.2.0-SNAPSHOT
- org.apache.commons:commons-lang3 3.4
- ml.dmlc:xgboost4j_${scala.binary.version} 1.2.0-SNAPSHOT
- org.apache.commons:commons-lang3 3.4
- org.apache.flink:flink-clients_${scala.binary.version} ${flink.version}
- org.apache.flink:flink-ml_${scala.binary.version} ${flink.version}
- org.apache.flink:flink-scala_${scala.binary.version} ${flink.version}
- org.apache.hadoop:hadoop-common 2.7.3
- org.apache.spark:spark-core_${scala.binary.version} ${spark.version} provided
- org.apache.spark:spark-mllib_${scala.binary.version} ${spark.version} provided
- org.apache.spark:spark-sql_${scala.binary.version} ${spark.version} provided
- ml.dmlc:xgboost4j_${scala.binary.version} 1.2.0-SNAPSHOT
- breathe *
- graphviz *
- guzzle_sphinx_theme *
- matplotlib >=2.1
- mock *
- numpy *
- recommonmark *
- sh >=1.12.14
- sphinx >=2.1
- numpy *
- scipy *