aszer/bet
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

metrics函数移动到bet tools

Browse Source
This commit is contained in:
aszerW
2025-10-25 22:17:28 +08:00
parent 22bede007e
commit 332284293f
3 changed files with 117 additions and 137 deletions
Download Patch File Download Diff File Expand all files Collapse all files

34
test.ipynb
View File

@@ -594,38 +594,24 @@
},
{
"cell_type": "code",
"execution_count": 26,
"execution_count": 1,
"id": "2dfaf8ca",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['1XBet' 'baseball'] 64485\n",
"{'logloss': 0.6387950997506274, 'brier': 0.22453871048598073, 'ece': 0.05136008172379394, 'accuracy': 0.6251531363883074, 'reg_alpha': -0.22365612018752326, 'reg_beta': 0.816534516967482, 'n_samples': 64485, 'filter_cols': '1XBet,baseball'}\n",
"['1XBet' 'basketball'] 166590\n",
"{'logloss': 0.669273027668078, 'brier': 0.23856284575034065, 'ece': 0.009400017057809669, 'accuracy': 0.5751905876703284, 'reg_alpha': 0.034476957539975685, 'reg_beta': 0.8760036858377837, 'n_samples': 166590, 'filter_cols': '1XBet,basketball'}\n",
"['1XBet' 'football'] 36019\n",
"{'logloss': 0.5156283069611564, 'brier': 0.17093288618023667, 'ece': 0.03737481116887414, 'accuracy': 0.7366389960853994, 'reg_alpha': -0.22019343021598026, 'reg_beta': 0.9096828468608887, 'n_samples': 36019, 'filter_cols': '1XBet,football'}\n",
"['1XBet' 'hockey'] 3441\n",
"['1XBet' 'soccer'] 170549\n",
"{'logloss': 0.5326802320693952, 'brier': 0.17692943714557405, 'ece': 0.03728482187098291, 'accuracy': 0.7336014869626911, 'reg_alpha': -0.18193411314913413, 'reg_beta': 0.7726877806789224, 'n_samples': 170549, 'filter_cols': '1XBet,soccer'}\n",
"['1XBet' 'tennis'] 114015\n",
"{'logloss': 0.6389011505288847, 'brier': 0.22439917328514708, 'ece': 0.01927127655619132, 'accuracy': 0.6223479366749989, 'reg_alpha': -0.06976580882770708, 'reg_beta': 0.8523393655794403, 'n_samples': 114015, 'filter_cols': '1XBet,tennis'}\n",
"['Pinnacle' 'baseball'] 13706\n",
"{'logloss': 0.6488942536621299, 'brier': 0.2288787220784783, 'ece': 0.01759828591637442, 'accuracy': 0.6151320589522836, 'reg_alpha': -0.06787819238175896, 'reg_beta': 0.9034496569376994, 'n_samples': 13706, 'filter_cols': 'Pinnacle,baseball'}\n",
"['Pinnacle' 'basketball'] 8588\n",
"['Pinnacle' 'football'] 1477\n",
"['Pinnacle' 'hockey'] 32\n",
"['Pinnacle' 'soccer'] 2435\n",
"['Pinnacle' 'tennis'] 48314\n",
"{'logloss': 0.6472225570749982, 'brier': 0.22852018039069258, 'ece': 0.018568682287188856, 'accuracy': 0.605766444508838, 'reg_alpha': -0.07073057145248554, 'reg_beta': 0.9334853391615549, 'n_samples': 48314, 'filter_cols': 'Pinnacle,tennis'}\n"
"ename": "NameError",
"evalue": "name 'df' is not defined",
"output_type": "error",
"traceback": [
"\u001b[31m---------------------------------------------------------------------------\u001b[39m",
"\u001b[31mNameError\u001b[39m Traceback (most recent call last)",
"\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m 1\u001b[39m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[34;01mcommon\u001b[39;00m\u001b[34;01m.\u001b[39;00m\u001b[34;01mbet_tools\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m compute_metrics\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m data_df = \u001b[43mdf\u001b[49m.copy()\n\u001b[32m 3\u001b[39m data_list = []\n\u001b[32m 4\u001b[39m cols = [\u001b[33m\"\u001b[39m\u001b[33msportsbook\u001b[39m\u001b[33m\"\u001b[39m,\u001b[33m\"\u001b[39m\u001b[33msport\u001b[39m\u001b[33m\"\u001b[39m]\n",
"\u001b[31mNameError\u001b[39m: name 'df' is not defined"
]
}
],
"source": [
"from pinnacle_experiments import compute_metrics\n",
"from common.bet_tools import compute_metrics\n",
"data_df = df.copy()\n",
"data_list = []\n",
"cols = [\"sportsbook\",\"sport\"]\n",