- 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 parquet files
- 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
- 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.
- Add BM colors to interpretability plot
- Add interpret function for use in scripts
- Add methods for weighting training examples
- Adjust hive to use ini files
- Enable setting 'ignore_entities_without_events' flag.
- Extract queries from connectors
- Create common mechanism for query execution
- Refactor query builders
- Add treemap visualization
- Add treemap generation from predefined hierarchy
- Replace sampling method with actual sampling
- Make attribution average optional.
- Introduce Python 3.11
- Add regression task to interpretability
- Support training resuming
- Create chunks based on partition column
- Support booleans in fit stage
- Add quotation marks around table names in dialect providers
- Add quotation marks to entity ids subquery
- Add reset method to LongCastingMetric
- Add return statement to FM get trainable module
- Cast Hive decimal columns to float
- Change cache dir type
- Fixing id info parsing
- Handle empty iterator while caching
- Hash sketches hashing function and tests
- Add options to change interpretability sample size
- Fix time shift when caching datetimes.
- Handle decimal types in Hive training iterator.
- Fix ignore_entities_without_events flag
- Fix combining tiles with the same name and different id
- Catching prediction on None object and fixing runtime threshold
- Remove dask-ml, bump ray, use compatible dask version
- Set enable_checkpointing flag accordingly to the callbacks setup
- Small fix in one-hot-encoders
- Stop logging warnings for uppercase unquoted columns in snowflake
- Add interpretability
- Add logging column names
- Add resume option for columns & fix minor bug related to text columns processing
- Add target filtering to the inference module.
- Use PyODBC for connecting with Hive.
- Chunking in hive queries fixed
- Convert max num columns to int
- Fix cleora circular dependency imports
