Additions

Added dataset module (#949) containing MNIST, SST-2, SST-5, REUTERS, OHSUMED, FEVER and GoEmotions datasets
Add Ludwig Model Serve Example (#947)
Add checksum mechanism for HDF5 and Meta JSON cache file (#1006)-

Improvements

Updated run_experiment to use new skip parameters and returns (#955)
Several improvements to testing (more coverage, with faster tests)
Changed default value of HF encoder trainable parameter to True (for performance reasons) (#996)
Improved and slightly modified visualization functions API-

Changed not to is None in dataset checks in hyperopt.run.hyperopt() (#956)
Fix LudwigModel.predict() when skip_save_predictions = False (#962)
Fix #963: Convert materialized tensors to numpy arrays up front to avoid repeated conversion ()
Fix errors with DataFrame truth checks in hyperopt (#956)
Added truncation to HF tokenizer (#978)
Reimplemented Jaccard Metric for the Set Feature (#979)
Fix learning rate computation with decay and warmup (#982)
Fix CLI logger typos (#998, #999)
Fix loading of split from hdf5 (#1003)
Fix visualization unit tests (#981)
Fix concatenate_csv to work with arbitrary read functions and renamed concatenate_datasets
Fix compatibility issue with matplotlib 3.3.3
Limit numpy and h5py max versions due to tensorflow 2.3.1 max supported versions (#990)
Fixed usage of model_load_path with Horovod (#1011)