{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Пример использование подходов из sklift.models в sklearn.pipeline\n",
"\n",
"
\n",
"
\n", " | recency | \n", "history_segment | \n", "history | \n", "mens | \n", "womens | \n", "zip_code | \n", "newbie | \n", "channel | \n", "visit | \n", "treatment | \n", "
---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "10 | \n", "2) $100 - $200 | \n", "142.44 | \n", "1 | \n", "0 | \n", "Surburban | \n", "0 | \n", "Phone | \n", "0 | \n", "1 | \n", "
1 | \n", "6 | \n", "3) $200 - $350 | \n", "329.08 | \n", "1 | \n", "1 | \n", "Rural | \n", "1 | \n", "Web | \n", "0 | \n", "0 | \n", "
2 | \n", "7 | \n", "2) $100 - $200 | \n", "180.65 | \n", "0 | \n", "1 | \n", "Surburban | \n", "1 | \n", "Web | \n", "0 | \n", "1 | \n", "
4 | \n", "2 | \n", "1) $0 - $100 | \n", "45.34 | \n", "1 | \n", "0 | \n", "Urban | \n", "0 | \n", "Web | \n", "0 | \n", "1 | \n", "
5 | \n", "6 | \n", "2) $100 - $200 | \n", "134.83 | \n", "0 | \n", "1 | \n", "Surburban | \n", "0 | \n", "Phone | \n", "1 | \n", "1 | \n", "