sample_weight = np.zeros(y.shape, dtype=np.float) sample_weight[y==1] = weights[0] sample_weight[y==-1] = weights[1]# n_iter = int(1e6 / X.shape[0])vw_clf = VWClassifier(quiet=False, loss_function="hinge", passes=500) vw_clf.fit(X, y.astype(np.double), sample_weight)...
https://blog.csdn.net/FY_2018/article/details/116951278 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-8 from sklearn.util
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...
class_weight_ =compute_class_weight(class_weight, np.unique(y), y) sample_weight = class_weight_[le.fit_transform(y)] spweights, spintercept = sag_sparse(X, y, step_size, alpha, n_iter=n_iter, dloss=log_dloss, sample_weight=sample_weight, fit_intercept=fit_intercept) spweights2,...
weights = class_weight.compute_class_weight('balanced', np.unique(self.train_labels), self.train_labels) weights[1] = weights[1] *5# Fit the modelself.model.fit(self.x_train, self.y_train, batch_size=batch_size, epochs=epochs, ...