Issues

R: Explaination related functions should check for presence of ggplot2 of a required version

'H2OAutoML' object has no attribute 'explain'

Remove newdata arg from hidden .plot_varimp function in R

Expose input -> output column mapping in Target Encoder

Kubernetes operator for H2O-3

Finalization API with Leaving Frames Locked

POC Add multi-GPU support on single node for XGBoost

Update ggplot2 required version in R package to 3.3.0

XGBoost: Allow CV to use multiple GPUs (on a single node)

Stacked Ensembles don't respect the schema of the base models

when loading the same data with the same query - it is overwriting the data in memory (changing the frame in memory)

Import_sql_select, import_sql_table: fetch mode distributed has data discrepancy then single mode or import_file

Add parameter lambda_best to GLM output parameter

Add 'without quotes' option for header to exportFile

Add `rule_generation_netrees` parameter to rulefit page

Missing syntax highlight Random Grid search Python example

Add parameter lambda_min to GLM output parameter

Mention ONNX support in our documentation

provide ROC curve and data for it

Add information about how early stopping is used to tune models in the User Guide

Create better learning curve function in R and Python

Get original categorical features from the model for h2o.varimp_heatmap()

Show missing values in numeric PDP plots

CV Frames have all the same number of rows as training frame