Serendipity
ceddbdd559
- Added Lecture4 - ModelFree.pdf (3013 KB) - Added Lecture5 - Control.pdf (2575 KB) - Added Lecture6 - Value.pdf (3320 KB)
66 lines
2.3 KiB
Python
66 lines
2.3 KiB
Python
"""
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运行 insurance_premium_risk.ipynb 的脚本
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将 notebook 代码单元格提取出来逐个执行
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"""
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import json, sys, os, warnings, traceback, time
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warnings.filterwarnings('ignore')
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import matplotlib
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matplotlib.use('Agg')
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import matplotlib.pyplot as _real_mpl_plt
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_real_mpl_plt.show = lambda *a, **kw: None
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import numpy as np
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import pandas as pd
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import matplotlib.pyplot as plt
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import seaborn as sns
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from sklearn.metrics import accuracy_score, f1_score, classification_report, confusion_matrix, ConfusionMatrixDisplay
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from sklearn.model_selection import cross_val_score
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from sklearn.preprocessing import StandardScaler, LabelEncoder
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from sklearn.linear_model import LogisticRegression
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from sklearn.ensemble import RandomForestClassifier, VotingClassifier
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from sklearn.pipeline import Pipeline
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from sklearn.compose import ColumnTransformer
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from sklearn.preprocessing import OneHotEncoder
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from sklearn.impute import SimpleImputer
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from sklearn.cluster import KMeans
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from sklearn.mixture import GaussianMixture
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from sklearn.metrics import silhouette_score
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from sklearn.decomposition import PCA
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import xgboost as xgb
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import optuna
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optuna.logging.set_verbosity(optuna.logging.WARNING)
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RANDOM_STATE = 42
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np.random.seed(RANDOM_STATE)
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plt.rcParams['figure.figsize'] = (10, 6)
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plt.rcParams['font.size'] = 12
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sns.set_style('whitegrid')
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# ===== 读取 notebook =====
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nb_path = r'd:\Code\doing_exercises\programs\外教作业外快\强化学习个人课程作业报告\notebooks\insurance_premium_risk.ipynb'
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cells = json.load(open(nb_path, encoding='utf-8'))['cells']
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code_cells = [c for c in cells if c['cell_type'] == 'code']
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print(f"Total code cells: {len(code_cells)}")
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# ===== 执行每个单元格 =====
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# 使用全局 __main__ 命名空间，变量跨单元格持久化
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main_ns = globals().copy()
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for i, cell in enumerate(code_cells):
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src = ''.join(cell['source'])
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print(f"\n{'='*60}")
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print(f"Running cell {i+1}/{len(code_cells)}...")
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print(f" Source: {src[:80].replace(chr(10), ' ')}")
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try:
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exec(compile(src, f'cell_{i+1}', 'exec'), main_ns)
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except Exception as e:
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print(f"ERROR in cell {i+1}: {e}")
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traceback.print_exc()
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print("Stopping execution.")
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break
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print("\n\nAll cells executed successfully!")
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print(f"Results saved to: outputs/figures/ and outputs/tables/")
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