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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.
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H2O-3 Time Series Analysis: Port Facebook's Prophet Algorithm #9089

Open exalate-issue-sync[bot] opened 1 year ago

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

Would it be possible that H2O-3 ports Facebook's Prophet Time-Series Analysis Algorithm, and makes it better work at scale?

https://facebook.github.io/prophet/

Here is the info related to the R Library / Python Module, which seems to be written in C++.

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

Juan Telleria commented: @Michal Kurka

Any news on the Feature Request?

I consider “prophet” as important library as “xgboost”.

In addition, when dealing with Time Series Forecast on the long term, it is very difficult to beat prophet’s accuracy with regular supervised learning algorithms + feature engineering.

Thank you!

Juan Telleria

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

Michal Kurka commented: Hi [~accountid:59f71b4f040e6b6cf1c0a904] , thanks for your comment. Prophet is currently not on our roadmap.

Our roadmap is published on: [https://github.com/h2oai/h2o-3#Roadmap|https://github.com/h2oai/h2o-3#Roadmap|smart-link]

We appreciate your input and we will find out if there is enough interest to add it sometimes in the future.

FIY: I removed the fix version as this is not going to be included in this or next major release.

h2o-ops commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6541 Assignee: UNASSIGNED Reporter: Juan Telleria State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A