Welcome to mogu’s documentation!¶
This is a numerical packages collecting various routines of numerical algorithms.
I tried to make each file to be independent of each other. If there are functions that are universally used, they will be put into the package mogu.util. However, I try my best to keep the number of these functions as few as possible.
Functionalities¶
- Association rule using apriori algorithm;
- Binomial tree algorithm for European and American options pricing;
- Exponential and sigmoid curve fitting;
- Simulated voltage for networks; (moved to new package [graphflow](https://github.com/stephenhky/GraphFlow) since release 0.1.12)
- Google Page rank; (moved to new package [graphflow](https://github.com/stephenhky/GraphFlow) since release 0.1.12)
- Voter rank: Wilson’s score;
- Dynamic programming: Damerau-Levenshtein distance;
- Topological data analysis; (implementation moved to [moguTDA](https://github.com/stephenhky/MoguTDA) since release 0.1.13)
- Gini coefficients;
- Multivariate Gaussian distribution sampling;
- probability crosswalk;
- PySpark dataframe to dict.
Github: Github
PyPI: PyPI
To install: type on command prompt: pip install -U mogu
Contents: