h2oai / h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
http://h2o.ai
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Generate H2O citation info #14965

Closed exalate-issue-sync[bot] closed 1 year ago

exalate-issue-sync[bot] commented 1 year ago

Provide [BibTeX entries|http://www.cs.vassar.edu/people/priestdo/tips/bibtex] for H2O software and each of our booklets.

We should also look into adding our citation directly into our Python package using something like [DueCredit|https://github.com/duecredit/duecredit/#duecredit-101] and also we should edit our R package so that the correct info is displayed when running citation("h2o") in R.

exalate-issue-sync[bot] commented 1 year ago

Erin LeDell commented: Here is the citation info for H2O and a sample h2o.bib [BibTeX|http://www.cs.vassar.edu/people/priestdo/tips/bibtex#incollection_entry] file is attached.

H2O Software

{noformat} @Manual{h2o_R_package, title = {h2o: R Interface for H2O}, author = {The H2O.ai team}, year = {2015}, note = {R package version 3.1.0.99999}, url = {https://github.com/h2oai/h2o-3}, }

@Manual{h2o_Python_module, title = {h2o: Python Interface for H2O}, author = {The H2O.ai team}, year = {2015}, note = {Python package version 3.1.0.99999}, url = {https://github.com/h2oai/h2o-3}, }

@Manual{h2o_Java_software, title = {H2O: Scalable Machine Learning}, author = {The H2O.ai team}, year = {2015}, note = {version 3.1.0.99999}, url = {https://github.com/h2oai/h2o-3}, } {noformat}

H2O Booklets

Booklet bibtex entries: {noformat} @Manual{h2o_GLM_booklet, title = {Generalized Linear Modeling with H2O}, author = {Hussami, N. and Kraljevic, T. and Lanford, J. and Nykodym, T. and Rao, A. and Wang, A.}, year = {2015}, month = {August}, url = {http://h2o.ai/resources}, }

@Manual{h2o_DL_booklet, title = {Deep Learning with H2O}, author = {Arora, A. and Candel, A. and Lanford, J. and LeDell, E. and and Parmar, V.}, year = {2015}, month = {August}, url = {http://h2o.ai/resources}, }

@Manual{h2o_GBM_booklet, title = {Gradient Boosted Models}, author = {Click, C. and Lanford, J. and Malohlava, M. and Parmar, V. and Roark, H.}, year = {2015}, month = {August}, url = {http://h2o.ai/resources}, }

@Manual{h2o_R_booklet, title = {Fast Scalable R with H2O}, author = {Aiello, S. and Eckstrand, E. and Fu, A. and Landry, M. and Lanford, J. and Aboyoun, P. }, year = {2015}, month = {August}, url = {http://h2o.ai/resources}, }

{noformat}

Formatted booklet citations:

Hussami, N., Kraljevic, T., Lanford, J., Nykodym, T., Rao, A., and Wang, A. (Aug. 2015). Generalized Linear Modeling with H2O. [http://h2o.ai/resources].

Arora, A., Candel, A., Lanford, J., LeDell, E., and Parmar, V. (Aug. 2015). Deep Learning with H2O. [http://h2o.ai/resources].

Click, C., Lanford, J., Malohlava, M., Parmar, V., and Roark, H. (Aug. 2015). Gradient Boosted Models with H2O. [http://h2o.ai/resources].

Aiello, S., Eckstrand, E., Fu, A., Landry, M., Lanford, J., and Aboyoun, P. (Aug. 2015) Fast Scalable R with H2O. [http://h2o.ai/resources].

exalate-issue-sync[bot] commented 1 year ago

Erin LeDell commented: We could also provide just a single bibtex entry for the H2O software (instead of providing R and Python-specific bibtex entries).

exalate-issue-sync[bot] commented 1 year ago

Erin LeDell commented: Citation info in plain text and bibtex has been added to this ticket.

DinukaH2O commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-2013 Assignee: Erin LeDell Reporter: Erin LeDell State: Closed Fix Version: N/A Attachments: Available (Count: 1) Development PRs: N/A

Attachments From Jira

Attachment Name: h2o.bib Attached By: Erin LeDell File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-2013/h2o.bib