{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Parameter space sampling with MacroStat" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This section of the documentation is dedicated to the `sample` module of macrostat, whose purpose is to provide simple means of building a sampling of a given model's parameterspace" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## The Sample Module" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "MacroStat's sampling is based on a core `BaseSampler` class together with specific child class implementing different variations of generating parameters. At the time of writing, the implemented class is the `SobolSampler` that relies on the Sobol sequence to generate a uniform sampling of the parameter space" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "```{eval-rst}\n", ".. toctree::\n", " :maxdepth: 1\n", "\n", " Base Sampler Class \n", " Sobol Sampler \n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [] } ], "metadata": { "kernelspec": { "display_name": "macrostattest", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 2 }