{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "
\n", "\n", "**This is a fixed-text formatted version of a Jupyter notebook**\n", "\n", "- Try online [![Binder](https://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/gammapy/gammapy-webpage/v0.15?urlpath=lab/tree/modeling.ipynb)\n", "- You can contribute with your own notebooks in this\n", "[GitHub repository](https://github.com/gammapy/gammapy/tree/master/tutorials).\n", "- **Source files:**\n", "[modeling.ipynb](../_static/notebooks/modeling.ipynb) |\n", "[modeling.py](../_static/notebooks/modeling.py)\n", "
\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Modeling and fitting\n", "\n", "**TODO: write me! Does this contain a model gallery or do we move this to rst pages?**\n", "\n", "This is a hands-on tutorial to `~gammapy.modeling`, showing examples how\n", "the model, dataset and fit classes work together, and how to define your\n", "own models and register them with Gammapy.\n", "\n", "See also: `models.ipynb` (built-in model gallery) and `docs/modeling/index.rst`.\n", "\n", "- Introduction how Model, Models, Dataset, Fit and Analysis works\n", "- How model evaluation works\n", "- Covariance matrix and parameter errors" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "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": "3.7.0" }, "nbsphinx": { "orphan": true } }, "nbformat": 4, "nbformat_minor": 4 }