{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "52fd5e0b-aa46-495b-bda5-ffb44ddff20e",
"metadata": {
"tags": [
"hide-input",
"hide-output"
]
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/jean/ShinyDev/pyMelbourne/params.pkl\n"
]
}
],
"source": [
"# 从环境变量获取pickle数据文件的的路径\n",
"import os\n",
"try:\n",
" pickleFile = os.environ['pickleFile']\n",
"except KeyError as e:\n",
" pickleFile = '/home/jean/ShinyDev/pyMelbourne/params.pkl'\n",
"print(pickleFile)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "adfc31e6-e989-43a4-a806-e96a44f8f884",
"metadata": {
"tags": [
"hide"
]
},
"outputs": [],
"source": [
"# 从磁盘加载数据\n",
"import pickle\n",
"with open(pickleFile, 'rb') as f:\n",
" parameters = pickle.load(f)"
]
},
{
"cell_type": "markdown",
"id": "b8ee670d-150f-43ed-9a27-8f968a4a3d06",
"metadata": {
"tags": []
},
"source": [
"## 各算法性能数据"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "6b2ae4c7-cd52-45c1-80e8-48c3af731e63",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" 算法 | \n",
" 训练集 | \n",
" 验证集 | \n",
" 耗时 | \n",
"
\n",
" \n",
" \n",
" \n",
" | 0 | \n",
" SVM | \n",
" 0.911 | \n",
" 0.866 | \n",
" 14.143 | \n",
"
\n",
" \n",
" | 1 | \n",
" RF | \n",
" 0.981 | \n",
" 0.883 | \n",
" 8.971 | \n",
"
\n",
" \n",
" | 2 | \n",
" GBR | \n",
" 0.979 | \n",
" 0.902 | \n",
" 5.320 | \n",
"
\n",
" \n",
" | 3 | \n",
" XGB | \n",
" 0.972 | \n",
" 0.901 | \n",
" 4.292 | \n",
"
\n",
" \n",
" | 4 | \n",
" LGBM | \n",
" 0.979 | \n",
" 0.903 | \n",
" 5.188 | \n",
"
\n",
" \n",
" | 5 | \n",
" Cat | \n",
" 0.976 | \n",
" 0.906 | \n",
" 3.300 | \n",
"
\n",
" \n",
" | 6 | \n",
" Blend | \n",
" 0.979 | \n",
" 0.905 | \n",
" 3.671 | \n",
"
\n",
" \n",
"
\n",
"