Bayesian Optimization for Categorical and Continuous Inputs
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Updated
Jul 20, 2020 - Python
Bayesian Optimization for Categorical and Continuous Inputs
Pairwise association measures of statistical variable types
Decision Tree to predict the value of a continuous target variable
This package provides functions to create descriptive statistics tables for continuous and categorical variables.
SchroSIM is an open-source continuous-variable photonic quantum simulation stack in Swift, Rust, and Python for designing, compiling, and simulating Gaussian and selected non-Gaussian circuits, with CPU/Metal backend options for research, validation, and education.
Simulated annealing framework for Dart.
Types of Variables in Research: Numeric/Quantitative vs Categorical
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