Issues

Fix adaptFrameToTrain to support TE with non-AUTO encoders when using validation frame
PUBDEV-7785
Add an Explainability page in the User Guide
PUBDEV-7786
Anomaly of H2O AutoML grid-search
PUBDEV-7751
Add a function to allow re-distribution of the data
PUBDEV-7783
Deprecate and remove max_hit_ratio_k
PUBDEV-7637
Broken Mojo when model trained with non-predictor column (e.g. fold_column) and a categorical encoding generating new columns (e.g. OHE)
PUBDEV-7775
Ignoring the target column prevents model training to start in Flow
PUBDEV-7706
Setting big number on 'max_depth' on XGBoost gives Segmentation Fault and Core Dumped
PUBDEV-7643
Unable to access Kerberized H2O cluster via Spnego authentication using python3 client.
PUBDEV-7638
Minimal Target Encoding support in AutoML
PUBDEV-7778
hc.stop() stops H2OContext but also affects spark cluster
PUBDEV-7784
GLM raises ArrayIndexOutOfBoundsException with CV+lambda_search+alphas+categorical columns
PUBDEV-7782
Categorical_encoding default/auto one_hot_internal to be explicit in the documentation
PUBDEV-7781
Fully undocument algo_parameters or activate the functionality in h2o.init by default
PUBDEV-7551
WHen the option "reproducible" is not used in h2o.deeplearning the results are worse than when it is used
PUBDEV-7780
R package h2o.jar download: Increase time-out limit & use HTTPS
PUBDEV-7779
Add a RuleFit page to the User Guide
PUBDEV-7763
Dynamic Stacked Ensemble metalearning strategy in AutoML
PUBDEV-7542
Add Support For Interactions to GLM and GAM MOJO
PUBDEV-7776
H2O reading from S3 using SigV2
PUBDEV-7777
The `seed` Parameter on GAM Is Incorrectly Propagated to MOJO Details
PUBDEV-7772
The 'pca_impl' Parameter on PCA Is Incorrectly Propagated to MOJO Details
PUBDEV-7773
create similar feature on Native XGBoost: feature_interaction_constraint
PUBDEV-7774
Implementing XGBFI package in h2o-3 to see the feature interaction
PUBDEV-7739
Add Function to plot Precision Recall curve
PUBDEV-7730
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