Web Real-Time Communication(Web实时通信,WebRTC)由一组标准、协议和JavaScript API组成,用于实现浏览器之间(端到端)的音频、视频及数据共享。 WebRTC使得实时通信变成一种标准功能,任何Web应用都无需借助第三方插件和专有软...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...(trainFilePath) X_train, y_train = featureSet(data) X_test = loadTestData(testFilePath) cv_params = {n_estimators: [400, 500, 600, 700, 800]} other_params = {learning_rate: 0.1, n_...
...的标准正态分布。也即针对一个均值为 $mean$ 标准差为 $std$ 的向量 $X$ 中的每个值 $x$,有 $x_{scaled} = frac{x - mean}{std}$。 >>> from sklearn import preprocessing >>> import numpy as np >>> X_train = np.array([[ 1., -1., 2.], .....
...e=float) 对于第一列数据,$x_{mean}$ = np.mean(X2[:, 0]),$s$ = np.std(X2[:, 0]): X2[:, 0] = (X2[:, 0] - np.mean(X2[:, 0])) / np.std(X2[:, 0]) 第二列数据同理: X2[:, 1] = (X2[:, 1] - np.mean(X2[:, 1])) / np.std(X2[:...
... phone0 9759243157894736 us 69.166.231.58 vasstdc27m7nks3 1 1 668d393e858e8126275433046bbd35c6tywop aeqok furniture phone1 97...
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