transitionMatrix Documentation
transitionMatrix is a pure Python powered library for the statistical analysis and visualization of state transition phenomena. It can be used to analyze any dataset that captures timestamped transitions in a discrete state space.
Use cases include applications in finance (for example credit rating transitions), IT (system state event logs) and more.
NB: transitionMatrix is still in alpha release / active development. If you encounter issues please raise them in our github repository
- The transitionMatrix Library
- Installation
- Getting Started
- Input Data Formats
- Datasets
- Preprocessing
- Credit Ratings
- Estimation
- Post-processing
- Data Generators
- Federation
- Usage Examples
- API
- Testing
- Roadmap
- Todo List
- ChangeLog
- v0.5.2 (XX-12-2024)
- v0.5.1 (29-09-2023)
- v0.5.0 (21-02-2022)
- v0.4.9 (04-05-2021)
- v0.4.8 (07-02-2021)
- v0.4.7 (29-09-2020)
- v0.4.6 (22-05-2019)
- v0.4.5 (21-04-2019)
- v0.4.4 (03-04-2019)
- v0.4.3 (29-03-2019)
- v0.4.2 (29-01-2019)
- v0.4.1 (31-10-2018)
- v0.4.0 (23-10-2018)
- v0.3.1 (21-09-2018)
- v0.3 (27-08-2018)
- v0.2 (05-06-2018)
- v0.1.3 (04-05-2018)
- v0.1.2 (05-12-2017)
- v0.1.1 (03-12-2017)
- v0.1.0 (11-11-2017)