Release 0.7.0

Features

• Add dimension checks in interpretability
• Allow to set maximum percentage of nulls in a column
• Forbid undefined fields in configs
• Handle none as entity_id in parquets
• Create new data source definition.
• New config.yaml design.
• Enable caching queried data
• Handle duplicated column names when joining tables.
• Support parquet data source.
• Fix monad metrics
• Validate allowed_columns.
• Support lambdas at config level
• Implement mechanism for metric initialization
• Add joins to benchmarking configs
• Cast main_entity_id to string
• Validate columns uniqueness
• Allow defining lambdas in extra columns
• Add recommendations to interpretability
• Set max number of expressions via environment variable
• Verify if data source name contains any forbidden sequences

Fixes

• Add recency modality slices to feature value interpretability
• Allow join_on column in select
• Allow None value for limit_train_batches
• Always use stored config at pretraining phase
• Changed defaults for loader params
• Check data source type before accessing date column
• Fix Recommendation model
• Fix to date parsing in hive
• Make snowflake config work with new setup
• Use alias and table name correctly
• Fix metrics in training params
• Append suffix to with clause alias
• Fix detecting cyclic joins.