Issues

Remove "max_hit_ratio_k" from the List of Deprecated Parameters
SW-2442
Provide explicit schema for asH2OFrame
SW-2441
Generate Algorithm-specific Python MOJO Classes
SW-2440
Missing Import of H2OBinaryModel in Python Classification and Regression Classes
SW-2439
Exclude Integration Tests from PR builds
SW-2438
Make Sparkling Water Runnable on Databricks ML Distrubutions
SW-2437
Deprecate 'trainingParameters' Parameter on H2OMOJOModel
SW-2436
Use `family` Parameter on H2OGLM for Determining a Need to Convert the Label Column to Categoricals
SW-2435
Deprecate 'weightCol' Parameter on H2OKmeans
SW-2434
Deprecate 'distribution' Parameter on H2OGLM
SW-2433
Limit Generated Parameters Only to parameters in *ParameteV3.fields
SW-2432
Upgrade to a Docker Image with Spark 2.4.7 and 3.0.1
SW-2430
Update H2OTargetEncoder According to Changes in PUBDEV-7702
SW-2429
H2OMOJOModel.load Method Throws Exception
SW-2428
Fix parameter generation in doc
SW-2427
Remove Irrelevant Parameters from Kmeans API
SW-2423
Upgrade to H2O 3.30.1.2
SW-2422
Improve Documentation for XGBoost Memory Requirements
SW-2421
Fix Propagation of Monotonous Constraints
SW-2420
H2O Word2Vec Documentation
SW-2419
Add Automated Tests Testing Compatibility of SW with Different Versions of DAI MOJO Models
SW-2418
Clean up w2v tokenizer and expose minTokenLength and pattern to provide same features as H2O tokenize method
SW-2417
Kubernetes tests should clean up the environment in case of an error
SW-2416
Generate Algorithm-specific MOJO Scala Classes
SW-2415
Make Documentation More Descriptive about Extraction of pipeline.mojo from mojo.zip
SW-2414
1-25 of 2404