Updated recently

Add capability to have quantile distribution in Stacked Ensemble
PUBDEV-7491
h2o glm: get AIOOB when all features are 'enum' and interactions set
PUBDEV-4440
Predict on Aggregator model throws NPE
PUBDEV-7572
Support predict on Aggregator model
PUBDEV-7577
generate warning/error message with H2OGeneralizedLinearEstimator.makeGLMModel when coefficients entered by user differ from GLM model coefficients
PUBDEV-5442
big data and complex join results incorrect answer
PUBDEV-7548
Add an AutoML heading under "Supervised Algorithms" that links to the AutoML section
PUBDEV-7513
Document 2D PDP and multinomial PDP
PUBDEV-7576
Add information about print_mojo to Productionizing chapter; add print_mojo example to Python docs
PUBDEV-7217
Ensure Stacked Ensemble works with imported base models
PUBDEV-7567
Add examples for saving and loading grids and for parallelism to User Guide
PUBDEV-7144
GLM produces non-monotonic AUC curves
PUBDEV-6251
Add capability in GLM to allow users to put in intial coefficients.
PUBDEV-6800
Make sure GLM cross-validation works properly with Lambda_search=True or False and other settings
PUBDEV-7575
monotone_constraints can now be used with distribution=tweedie
PUBDEV-7574
Add Quantile and Tweedie distributions support for monotone constraints.
PUBDEV-7241
DeepLearning cross-validation computation differs for Huber distribution vs. AUTO that represents Huber distribution
PUBDEV-7573
Add method to get the actual parameter when a parameter is set to 'Auto'
PUBDEV-7237
Add a "Training Models" section to the User Guide
PUBDEV-7518
Are SVM MOJOs and POJOs supported?
PUBDEV-7429
CAcert not supported with Python API
PUBDEV-7565
XGBoost currently requires CUDA 9; add info showing users how to check their CUDA version
PUBDEV-7525
Add note to docs that `use_temp_table=False` is required for Teradata
PUBDEV-7563
Water Meter and Form Login doesn't work
PUBDEV-7569
Add model-agnostic permutation feature importance function
PUBDEV-6504
Create an additional StackedEnsemble only from monotonically constrained models
PUBDEV-7547
Suppress data.table warning messages inside h2o.automl() in R
PUBDEV-7549
AutoML experiment/benchmark with various SE metalearners (algo, params) to see if current can be improved
PUBDEV-7571
When algo_parameters are enabled, they should also consistently override hyperparameter search
PUBDEV-7570
Switch StackedEnsemble doScoreMetricsOneFrame to use scoreMetrics instead of predictScoreImpl
PUBDEV-7478
R docs: Add back in "destination_frame" parameter
PUBDEV-7554
Add hyperparameter values and ranges for all models in AutoML to the User Guide
PUBDEV-6799
Change doc examples to use sphinx-tab extension rather than osexample extension
PUBDEV-7075
Create topic for train_segments
PUBDEV-7512
Add a section about Shapley values the User Guide
PUBDEV-7550
Multiple javascript library versions with security vulnurabilities in h2o-core
PUBDEV-7568
Performance in Isolation Forest model not available in R but is available in Python
PUBDEV-7566
h2o.get_leaderboard function does not work for re-attached H2OAutoML object
PUBDEV-7454
Cleanup XGBoost parameters
PUBDEV-7527
GLM calculation of AIC, residual_deviance and possibly other metrics differ if you ran an array of alpha/lambda and individual alpha/beta values
PUBDEV-7564
clean up python compare_frame to compare_frame_local. There is no need for both.
PUBDEV-7562
H2O Segmented Model Databricks/Sparkling Water Integration
PUBDEV-7561
Failed polling AutoML progress log when Target has Special Character
PUBDEV-7501
H2O_PredictSegments not present
PUBDEV-7560
H2o.trainSegments Not working for DataBricks
PUBDEV-7559
Add support for model checkpointing of the Stacked Ensemble metalearner
PUBDEV-7552
Parallelisation of data splitting
PUBDEV-7558
Issues around using h2o.train_segments
PUBDEV-7557
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