About "from machine_learning_algorithm.cross_validation import validate"

[YYYYWD]

from machine_learning_algorithm.cross_validation import validate

ModuleNotFoundError: No module named 'machine_learning_algorithm'

请问一下，您这个模块是没有上传到github上吗

[w179962443]

from machine_learning_algorithm.cross_validation import validate

ModuleNotFoundError: No module named 'machine_learning_algorithm'

请问一下，您这个模块是没有上传到github上吗

hey brother 用下面这几句替代作者那几句 if name == 'main': import pandas as pd dataset=pd.read_csv('iris.csv',names=['sepal length','sepal width','petal length','petal width','class']) dataset['class']=np.where(dataset['class'].str.contains('Iris-setosa'), 1,np.where(dataset['class'].str.contains('Iris-versicolor'),2,3)) X=dataset.values x=X[:,:4] y=X[:,4] from sklearn.model_selection import KFold kf = KFold(n_splits=10) for xun, ce in kf.split(X): X_data_train,X_data_test,y_data_train,y_data_test = x[xun], x[ce], y[xun], y[ce] clf = CART_CLF() clf.fit(X_data_train, y_data_train) score = 0 for a, b in zip(X_data_test,y_data_test): if clf.predict(a) == b: score += 1 print(score / len(y_data_test))

其中iris数据集自己去下载。

[future-zy]

改成 from cross_validation import validate 就行了，那个是博主自己写的代码