compute_class_weight这个函数的作用是对于输入的样本,平衡类别之间的权重,下面写段测试代码测试这个函数: #coding:utf-8fromsklearn.utils.class_weightimportcompute_class_weight class_weight='balanced'label= [0] * 9 + [1]*1 + [2, 2]print(label)#[0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 2,...
Type: module String form: <module 'sklearn.utils.class_weight' from '/home/software/anaconda3/envs/tf115/lib/python3.7/site-packages/sklearn/utils/class_weight.py'> 1. 2. sklearn.utils.class_weight.compute_class_weight sklearn.utils.class_weight.compute_class_weight(class_weight,classes,y...
调用sklearn的compute_class_weight提示错误”compute_class_weight() takes 1 positional argument but 3 were given“,解决办法为函数里加上参数名: from sklearn.utils.class_weightimportcompute_class_weight label = [0] * 9 + [ 1] * 1 + [2, 2] classes = [0, 1, 2] weight = compute_clas...
deftest_auto_weight():# Test class weights for imbalanced datafromsklearn.linear_modelimportLogisticRegression# We take as dataset the two-dimensional projection of iris so# that it is not separable and remove half of predictors from# class 1.# We add one to the targets as a non-regression...
调用sklearn的compute_class_weight提示错误”compute_class_weight() takes 1 positional argument but 3 were given“,解决办法为函数里加上参数名: from sklearn.utils.class_weight import compute_class_weight label = [0] * 9 + [1] * 1 + [2, 2] ...
# 需要导入模块: from sklearn.utils import class_weight [as 别名]# 或者: from sklearn.utils.class_weight importcompute_class_weight[as 别名]defsplit_data(self, y_file_path, X, test_data_size=0.2):""" Split data into test and training data sets. ...
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调用sklearn的compute_class_weight提示错误”compute_class_weight() takes 1 positional argument but 3 were given“,解决办法为函数里加上参数名: from sklearn.utils.class_weight