[SC 7521] Move capital markets notebooks from code sharing to code samples

[AnilSorathiya]

Internal Notes for Reviewers

• Move capital markets notebooks from code sharing to code samples
• Serialize the user defined class __str__ method. If not define then class name
• Remove the Input and the Param tagging in the output of comparison tests

External Release Notes

• This notebook demonstrate the support capital markets models in ValidMind

[AnilSorathiya]

@johnwalz97 I have removed tagging of Input and Param from the comparison.py. The run_test output generate table with column name "Input: <column_name>" or "Param: <column_name>".

                metadata[f"Input: `{input_name}`"] = _get_input_key(input_obj)

with

                metadata[input_name] = _get_input_key(input_obj)

[johnwalz97]

lgtm

[github-actions]

PR Summary

This pull request introduces several changes across multiple Jupyter notebooks and Python modules related to option pricing models and JSON encoding. The key changes are as follows:

1. Notebook Updates:

   • Removed the 'Data Preparation' section from quickstart_option_pricing_models.ipynb.
   • Corrected a typo in the benchmark test description from "Compaparison" to "Comparison".
   • Adjusted the execution count of code cells for consistency.
   • Updated the method of accessing data from result.metric.summary.results[0].data to result.tables[0].data for plotting results.
   • Removed redundant comments and improved code formatting.
   • Deleted two notebooks: OptionPricer.ipynb and option_pricing_models_vm.ipynb, which contained implementations of option pricing models and sensitivity analysis.

2. Python Module Enhancements:

   • In validmind/tests/comparison.py, simplified metadata key formatting by removing the "Input:" and "Param:" prefixes.
   • In validmind/utils.py, refactored the NumpyEncoder class to improve readability and maintainability by introducing type handler methods for different data types, including datetime, pandas intervals, numpy data types, and QuantLib dates.

These changes aim to improve the clarity, maintainability, and functionality of the codebase, particularly in the context of option pricing models and JSON data handling.

Test Suggestions

• Run the updated notebooks to ensure that all cells execute without errors and produce the expected outputs.
• Verify that the removal of the 'Data Preparation' section does not affect the overall flow and results of the notebook.
• Test the benchmark test function to confirm that the typo correction does not introduce any issues.
• Check the plotting functions to ensure they correctly access and display data from result.tables[0].data.
• Ensure that the deletion of OptionPricer.ipynb and option_pricing_models_vm.ipynb does not affect any dependent scripts or documentation.
• Test the JSON encoding functionality with various data types to confirm that the refactored NumpyEncoder handles all cases correctly.

[cachafla]

Nice 👌

[cachafla]

Ready to merge?