A stable version of the tfcasualimpact package
Project description
tfp_causalimpact_customized
Features
- Rebuilt of TFP CausalImpact
Improved summary round to 3 digits
Matplotlib Japanese Support
- Added support for Japanese fonts and characters in Matplotlib plots.
- Enhanced compatibility with Japanese data visualization requirements.
Improved Matplotlib Plots
- Enhanced plotting capabilities for clearer and more informative visualizations.
- Customized plot styles and themes to better represent causal impact analysis.
Comparison with tfcausalimpact
Enhancements Over tfcausalimpact
- Stability: Resolved the issue of results changing from run to run, ensuring consistent outcomes. See Result change from run to run in tfcausalimpact.
- Performance: Optimized performance for faster computations and larger datasets.
- Customization: Increased flexibility in model customization and parameter tuning.
Fixed Issues
- Consistent Results: Fixed the Result change from run to run in tfcausalimpact issue to ensure reproducible results across multiple runs.
- Bug Fixes: Addressed various bugs reported in the original tfcausalimpact repository to enhance overall stability and reliability.
Getting Started
- Installation
uv add tfp_causalimpact_customized
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