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