{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "![EvalML Logo](images/evalml_horizontal.svg)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Home\n", "\n", "EvalML is an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions.\n", "\n", "Combined with [Featuretools](https://featuretools.featurelabs.com) and [Compose](https://compose.featurelabs.com), EvalML can be used to create end-to-end supervised machine learning solutions." ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": { "maxdepth": 1 } }, "source": [ "[Install](install)" ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": { "maxdepth": 1 } }, "source": [ "[Start](start)" ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": { "maxdepth": 1 } }, "source": [ "[Tutorials](tutorials)" ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": { "maxdepth": 1 } }, "source": [ "[User Guide](user_guide)" ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": { "maxdepth": 1 } }, "source": [ "[API Reference](api_index.rst)" ] }, { "cell_type": "markdown", "metadata": { "nbsphinx-toctree": { "maxdepth": 1 } }, "source": [ "[Release Notes](release_notes)" ] } ], "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": "3.8.6" } }, "nbformat": 4, "nbformat_minor": 4 }