{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Estimating effect of multiple treatments" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import logging\n", "\n", "import dowhy\n", "from dowhy import CausalModel\n", "import dowhy.datasets\n", "\n", "import econml\n", "import warnings\n", "warnings.filterwarnings('ignore')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | X0 | \n", "X1 | \n", "W0 | \n", "W1 | \n", "W2 | \n", "W3 | \n", "v0 | \n", "v1 | \n", "y | \n", "
---|---|---|---|---|---|---|---|---|---|
0 | \n", "-0.413136 | \n", "1.588226 | \n", "0.487770 | \n", "0.290617 | \n", "0 | \n", "0 | \n", "1.133998 | \n", "4.769532 | \n", "79.134513 | \n", "
1 | \n", "-1.134280 | \n", "-0.198177 | \n", "-1.796690 | \n", "2.493473 | \n", "3 | \n", "1 | \n", "11.873946 | \n", "15.240956 | \n", "-22.448157 | \n", "
2 | \n", "-0.040000 | \n", "-0.259943 | \n", "0.509664 | \n", "2.970383 | \n", "3 | \n", "0 | \n", "14.436375 | \n", "21.720983 | \n", "178.499781 | \n", "
3 | \n", "0.428227 | \n", "-0.179278 | \n", "1.130956 | \n", "-1.010133 | \n", "0 | \n", "3 | \n", "3.065979 | \n", "15.740535 | \n", "200.564517 | \n", "
4 | \n", "0.879490 | \n", "-0.668984 | \n", "-1.299954 | \n", "0.571345 | \n", "3 | \n", "2 | \n", "8.741953 | \n", "19.404153 | \n", "194.187850 | \n", "