optimize

A high level environment to model a dataset, including wrappers to scipy.optimize.minimize. Simple Bayesian regression with Gaussian distributions and basic priors is also supported.

Below is the remaining documentation, tutorials, and API.

• Installation
• Tutorials
  • Example 1: Curve fitting with the numpy interface
  • Example 2: Curve fitting with the parameters interface
  • Example 3: Curve fitting with uncorrelated known errors (Chi-squared)
  • Example 4: Curve fitting with uncorrelated known errors (Chi-squared) with class based API
  • Example 5: Curve fitting with uncorrelated unknown errors (Bayesian)
• Indices and tables
• API
  • Optimization Problems
  • Objectives
  • Noise Modeling
  • Parameters
  • Optimizers
  • Samplers

Indices and tables

• Index

• Module Index

• Search Page