We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Original paper: PREDICTIVE LEARNING VIA RULE ENSEMBLES By Jerome H. Friedman 1 and Bogdan E. Popescu2 (see support ticket for copy)
References: sklearn-gbmi in Python - https://pypi.org/project/sklearn-gbmi/ interact.gbm in R - https://rdrr.io/cran/gbm/man/interact.gbm.html Christoph's explanation of Friedman's H-stat - https://christophm.github.io/interpretable-ml-book/interaction.html#theory-friedmans-h-statistic
See more details in the support ticket: https://support.h2o.ai/a/tickets/99261
The text was updated successfully, but these errors were encountered:
Zuzana Olajcová commented: Resolved in #5496
Sorry, something went wrong.
JIRA Issue Details
Jira Issue: PUBDEV-8109 Assignee: Zuzana Olajcová Reporter: Neema Mashayekhi State: Resolved Fix Version: 3.32.1.4 Attachments: N/A Development PRs: Available
Linked PRs from JIRA
#5496
No branches or pull requests
Original paper: PREDICTIVE LEARNING VIA RULE ENSEMBLES
By Jerome H. Friedman 1 and Bogdan E. Popescu2 (see support ticket for copy)
References:
sklearn-gbmi in Python - https://pypi.org/project/sklearn-gbmi/
interact.gbm in R - https://rdrr.io/cran/gbm/man/interact.gbm.html
Christoph's explanation of Friedman's H-stat - https://christophm.github.io/interpretable-ml-book/interaction.html#theory-friedmans-h-statistic
See more details in the support ticket: https://support.h2o.ai/a/tickets/99261
The text was updated successfully, but these errors were encountered: