Techtonique

Welcome to Techtonique/Packages.

Techtonique = tech, statistics, machine learning, computer simulation, numerical optimization.
Here, you'll find examples + documentation for Techtonique's tools.

Currently available:

• nnetsauce   Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks  |  feedback form  | 
• mlsauce for Python   and   mlsauce for R   Miscellaneous Statistical/Machine Learning stuff  |  feedback form  | 
• ahead (for R)   and   ahead (for Python)   Univariate and Multivariate time series forecasting  | 
• gpopt   Bayesian optimization using Gaussian Process Regression  | 
• bcn (for R)   and   BCN (for Python)   Boosted Configuration (neural) Networks for supervised learning  | 
• teller   Model-agnostic Statistical/Machine Learning explainability  |  feedback form  | 
• querier   A query language for Python Data Frames  |  feedback form  | 
• esgtoolkit   A toolkit for Monte Carlo Simulations in Finance, Economics, Insurance, Physics  |  feedback form  | 
• rtopy   Calling R functions in Python  | 
• crossvalidation   Generic R functions for cross-validation
• learningmachine (for R)   and   learningmachine (for Python) Machine Learning with Explanations and Uncertainty Quantification | 
• unifiedbooster   Unified interface for Gradient Boosted Decision Trees algorithms | 
• misc   Miscellaneous useful R functions
• Techtonique API calls in Python   and   Techtonique API calls in R