Release 1.0.6

New features

• Fixed splits for binary features on gpu for non-symmetric trees -- specify the set of splits to start each tree in the model with --fixed-binary-splits or fixed_binary_splits in Python package (by default, there are no fixed splits)

Documentation

• New sections on MultiRMSEWithMissingValues and LogCosh
• New section on get_embedding_feature_indices
• Add info on gpu support for metrics

Bug-fixes

• Fix warning about resetting logger when logging to sys.stdout & sys.stderr from different threads #1855
• Fix model summation in CatBoost for Apache Spark
• Fix performance and scalability of query auc for ranking (1m samples, query size 2, 8 cpu cores 0.55s -> 0.04s)
• Fix support for text features and embeddings in Java applier #2043
• Fix nan/inf split scores with yeti rank pairwise loss
• Fix nan/inf feature strengths in pair logit on cpu