Version 2.0.5

Add manifest and bug fixes

Version 1.2.6

Added new methods to normalizer. See #269 and #270.
Updated several versions for libraries.
Cleanup.

Fix bugs in installation

Add deprecated to dependencies

Release 1.2.4

Improve read_csv function and minor bug fixes.

Updating version

1.2.3

Finish 1.2.3

Release 1.2.2

Fixes minor errors in analyzer and doc.

Issues:

#182
#180

PR:
#185

Release 1.2.1

Add ml doc
Add test for ml
Change attribute get_data_frame to df
Updated Dockerfile
Change docs
Fix error in optimus.py
Fix tests
Add method for selecting columns in a DF by index

PR:

#172

Release 1.1.0

This is a minor version improvement. Apart from bug fixes we've added lots of new functionalities.

This release fixes:

#146 Improve documentation
#147 Create Spark Dataframes easily
#149 Add feature engineering to transformer
#151 Refactor tests

154 Let the OutlierDetector class get the threshold param

#155 Let users impute values to 0
#156 Let users impute values to the minimal column value

PRs:

#145
#157

Release 1.0.4

Improve I/O functionality, bug fixing and improvements in general.

Solved Issues:

#141 Improve I/O functionality
#143 Setup airbrake

New functionalities:

to_csv() function will write a Spark dataframe as a CSV in the specified path.
read_csv() function now receives the argument sep for specifying the separator.

PR:
#140

Improve testing, add new doc and bug fixing

Several new functions have been added to the core of Optimus, some were renamed for easy use. The issues solved by this release are:

#117 [Testing with airbrake]
#116 [Setup Airbrake for your Python application]
#109 [Wrapping o modifying the transformer.get_data_frame().show() function]

And the PR that have all the info and more changes is:

#115 [Fix testing for airbrake (and everything else for 1.0.1)].