Plot decision tree graph exported using Tree API in R and Python clients

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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Plot decision tree graph exported using Tree API in R and Python clients #12990

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

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

Integrate tree plotting into R and possibly Python client using Tree API and 3d-party graph packages for plotting.

In R plotting trees introduces dependencies on other packages. Currently, h2o package imports graphics, tools, utils, RCurl, jsonlite and suggests ggplot2, mlbench, Matrix, slam, bit64 (≥ 0.9.7), data.table (≥ 1.9.8), survival. R implementation should introduce minimal additional dependencies when designing this new functionality.

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

Michal Kurka commented: Thanks [~accountid:5a1ed71ecba5b30325a783ad], the required dependencies should stay as-is as this is not a core functionality. It would be okay to add them to suggested.

hasithjp commented 1 year ago

JIRA Issue Migration Info

Jira Issue: PUBDEV-6161 Assignee: New H2O Bugs Reporter: Gregory Kanevsky State: Open Fix Version: N/A Attachments: N/A Development PRs: N/A