{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "Automate Machine Learning with TPOT\n", "===================================\n", "\n", "This example shows how [TPOT](https://epistasislab.github.io/tpot/) can be used with Dask.\n", "\n", "TPOT is an [automated machine learning](https://en.wikipedia.org/wiki/Automated_machine_learning) library.\n", "It evaluates many scikit-learn pipelines and hyperparameter combinations to find a model that works well for your data. Evaluating all these computations is computationally expensive, but ammenable to parallelism. TPOT can use Dask to distribute these computations on a cluster of machines.\n", "\n", "This notebook can be run interactively on the [dask examples binder](https://github.com/dask/dask-examples).\n", "The following video shows a larger version of this notebook on a cluster." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "execution": { "iopub.execute_input": "2021-01-14T10:50:38.053072Z", "iopub.status.busy": "2021-01-14T10:50:38.052522Z", "iopub.status.idle": "2021-01-14T10:50:38.071146Z", "shell.execute_reply": "2021-01-14T10:50:38.071998Z" } }, "outputs": [ { "data": { "text/html": [ "
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