sklearn基于make_scorer函数为Logistic模型构建自定义损失函数并可视化误差图(lambda selection)和系数图（trace plot）+代码实战

Posted 2021-09-06 Data+Science+Insight

sklearn基于make_scorer函数为Logistic模型构建自定义损失函数并可视化误差图(lambda selection)和系数图（trace plot）+代码实战

# 自定义损失函数

import numpy as np
from sklearn import linear_model, datasets
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import log_loss, make_scorer
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report, confusion_matrix, accuracy_score

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