{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Scale XGBoost\n",
"=============\n",
"\n",
"Dask and XGBoost can work together to train gradient boosted trees in parallel. This notebook shows how to use Dask and XGBoost together.\n",
"\n",
"XGBoost provides a powerful prediction framework, and it works well in practice. It wins Kaggle contests and is popular in industry because it has good performance and can be easily interpreted (i.e., it's easy to find the important features from a XGBoost model).\n",
"\n",
""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup Dask\n",
"We setup a Dask client, which provides performance and progress metrics via the dashboard.\n",
"\n",
"You can view the dashboard by clicking the link after running the cell."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"execution": {
"iopub.execute_input": "2021-01-14T10:51:22.867027Z",
"iopub.status.busy": "2021-01-14T10:51:22.865997Z",
"iopub.status.idle": "2021-01-14T10:51:27.243796Z",
"shell.execute_reply": "2021-01-14T10:51:27.244631Z"
}
},
"outputs": [
{
"data": {
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