Skip to content

v0.1.0

Choose a tag to compare

View all tags
@tikhomirovd tikhomirovd released this 12 Mar 15:00
· 1083 commits to master since this release
v0.1.0
097ac30

HypEx Release Summary

This release of HypEx introduces a range of new features, significant enhancements, and critical bug fixes aimed at improving the usability, functionality, and reliability of the framework. Below is an overview of the major changes:

New Features and Enhancements

  1. Feature Selection Integration: Utilizing CatBoost and LightGBM for integrating feature importance algorithms, directly affecting the matching tasks within HypEx.

  2. AATest Class Enhancements: Refactoring critical methods into the AATest class, simplifying user interaction and extending the functionality to handle direct DataFrame inputs for a more intuitive experience.

  3. TQDM Import Compatibility: Addressed compatibility issues with older versions of tqdm, ensuring smoother operations across different environments.

  4. Validate Group Col Functionality: Expanded the validate_group_col function to accept both strings and lists, enabling more complex data validation scenarios.

  5. Enhancements to Group Matching: Introduced a mechanism to bypass categories preventing successful Cholesky decomposition, thereby enhancing the stability of the matching process.

  6. Automated Emissions Handling: Automated detection and management of extreme outliers, with customization options for handling, thus improving data analysis reliability.

  7. Delta_t Attribute for Bias Quantification: New attribute to quantify the bias contribution to ATT, offering insights into the impact of bias on the analysis results.

  8. Imbalanced Sample Size Calculation: Added a new function for calculating necessary sample sizes for control and test groups in studies with imbalanced group sizes, supporting both binary and continuous outcomes.

Bug Fixes

  1. Fixed Cholesky Decomposition Issue: Adjusted data processing to ensure Cholesky decomposition can always be performed, addressing failures due to non-positive definite matrices.

  2. Resolved Dataset Creation Bug: Corrected an issue affecting the number of users in dataset creation, ensuring accuracy and reliability.

Documentation and Warnings

  • Added warnings and guidelines regarding the alpha version functionalities like multitarget matching, feature selection in matching, and validation in matching.
  • Enhanced documentation to include warnings about feature selection, providing a more comprehensive understanding of potential pitfalls and considerations.

Methodological Innovations

  • Developed a method based on the theory of limit distributions, aimed at maintaining strict adherence to the predefined probabilities of Type I and Type II errors, thus improving the decision-making process in multiple hypothesis testing.

This release represents a significant step forward for the HypEx project, delivering robust solutions to complex data analysis challenges while maintaining high standards of accuracy and reliability.

Assets 4
Loading