Releases: hi-primus/optimus
Releases · hi-primus/optimus
Version 2.2.16
See #672 for more
Bug Fixes:
- Error Connecting to Bumblebee
- Error using param port in JDBC class
Version 2.2.15
See #659 for more
Bug Fixes:
- Error in fill_na() with boolean columns
Enhancement :
- Add functions to handle columns and dataframe metadata #644
- Improvement in bumblebee connection
- Unnest rows and columns struct
Version 2.2.14
See #646
Bug fixes:
- Profiler fails when datetime or numeric types are detected. Close #641
Enhancements:
Profiler speed enhancements.
Version 2.2.12
Fix html files missing in packaging
Version 2.2.11
See #631
Bug Fixes:
- Fix HTML files missings.
- Fix Boolean missing in the profiler
- Added test for the profiler
Version 2.2.10
See #609 for more
Bug Fixes:
- Now tables are displayed correctly after notebook reload #599
- Unable to load excel from hdfs #544
- Unable to connect to postgres #616
Enhancement :
- Cut profile time processing 1/3 #560
- Create test to the example notebooks #593
- Disable dataframe caching #583
- Qqplots now available #380
- Profiler can now handle columns with datetype #602
Version 2.2.9
Added Darwin(OSX) compatibility
Version 2.2.8
See #591 for more
Bug fixes:
- Fix distinct count profiler problem #581
- Fix Databricks table issue #566
- Fix multiple columns in key collision #584
Enhancements:
- Outliers funtions can give you extra info about
Version 2.2.6
See #556 for more.
Bug fixes:
- Fix jars, packages, repository problem
- Fix wrong match between columns and data print
- Remove unnecessary sort keys
- Fix issue on encoding
- Fix requirements
- Update PySparkling models
Enhancements:
- Added df_to_table
- Now collect_as_dict param is a dataframe no collected dataframe
- Added result() and change to execute() to submit()
- Add ascii to json dumps
- Added tsv support and example
- Enhance the use of feature transformations