Change Log

Version 1.0.6

• Latest version of python black can now run. Linted tmle_core.py.

Version 1.0.5

• Removed master branch, replaced with main
• Removed all mention of master branch from documentation

Version 1.0.4

• Fixed TMLE plot and code errors in documentation

Version 1.0.3

• Fixed bug with random_seed functionality in all tools

Version 1.0.2

• Updated end-to-end example notebook in /examples folder
• Fixed various class docstrings if they still reference old v0.5.2 API
• Fixed bug where custom class input parameters weren’t being used

Version 1.0.1

• Added to TMLE overview in the docs (including plot)

Version 1.0.0: Major Update

• Overhaul of the TMLE tool to make it dramatically more accurate and user-friendly.
• Improved TMLE example documentation
• Much like with scikit-learn, there are now separate model classes used for predicting binary or continuous outcomes
• Updating documentation to reflect API changes
• Added more tests
• Linted with pylint (added .pylintrc file)

Version 0.5.2

• Fixed bug that prevented causal-curve modules from being shown in Sphinx documentation
• Augmented tests to capture more error states and improve code coverage

Version 0.5.1

• Removed working test file

Version 0.5.0

• Added new predict, predict_interval, and predict_log_odds methods to GPS tool
• Slight updates to doc to reflect new features

Version 0.4.1

• When using GPS tool with a treatment with negative values, only the normal GLM family can be picked
• Added ‘sphinx_rtd_theme’ to dependency list in .travis.yml and install.rst
• core.py base class now has __version__ attribute

Version 0.4.0

• Added support for binary outcomes in GPS tool
• Small changes to repo README

Version 0.3.8

• Added citation (yay!)

Version 0.3.7

• Bumped version for PyPi

Version 0.3.6

• Fixed bug in Mediation.calculate_mediation that would clip treatments < 0 or > 1
• Fixed incorrect horizontal axis labels in lead example
• Fixed typos in documentation
• Added links to resources so users could learn more about causal inference theory

Version 0.3.5

• Re-organized documentation
• Added Introduction section to explain purpose and need for the package

Version 0.3.4

• Removed XGBoost as dependency.
• Now using sklearn’s gradient boosting implementation.

Version 0.3.3

• Misc edits to paper and bibliography

Version 0.3.2

• Fixed random seed issue with Mediation tool
• Fixed Mediation bootstrap issue. Confidence interval bounded [0,1]
• Fixed issue with all classes not accepting non-sequential indicies in pandas Dataframes/Series
• Class init checks for all classes now print cleaner errors if bad input

Version 0.3.1

• Small fixes to end-to-end example documentation
• Enlarged image in paper

Version 0.3.0

• Added full, end-to-end example of package usage to documentation
• Cleaned up documentation
• Added example folder with end-to-end notebook
• Added manuscript to paper folder

Version 0.2.4

• Strengthened unit tests

Version 0.2.3

• codecov integration

Version 0.2.2

• Travis CI integration

Version 0.2.1

• Fixed Mediation tool error / removed tqdm from requirements
• Misc documentation cleanup / revisions

Version 0.2.0

• Added new Mediation class
• Updated documentation to reflect this
• Added unit and integration tests for Mediation methods

Version 0.1.3

• Simplifying unit and integration tests.

Version 0.1.2

• Added unit and integration tests

Version 0.1.1

• setup.py fix

Version 0.1.0

• Added new TMLE class
• Updated documentation to reflect new TMLE method
• Renamed CDRC method to more appropriate GPS method
• Small docstring corrections to GPS method

Version 0.0.10

• Bug fix in GPS estimation method

Version 0.0.9

• Project created