Transitionmatrix

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* Feature: Addition of portfolio models (formerly portfolio_analytics_library) for data generation and testing
* Training: Added examples in jupyter notebook format

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* Feature: Addition of threshold generation algorithms

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* Documentation: Sphinx based documentation
* Training: Additional visualization examples

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* Refactoring: Dataset paths
* Bugfix: Correcting requirement dependencies (missing matplotlib)
* Documentation: More detailed instructions

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* Feature: TransitionMatrix model: new methods to merge States, fix problematic probability matrices, I/O API's
* Feature: TransitionMatrixSet mode: json and csv readers, methods for set-wise manipulations
* Datasets: Additional multiperiod datasets (Standard and Poors historical corporate rating transition rates)
* Feature: Enhanced matrix comparison functionality
* Training: Three additional example workflows
* fixing multiperiod matrices (completing State Space)
* adjusting matrices for withdrawn entries
* generating full multi-period sets from limited observations

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* First public release of the package