import numpy as npimport pandas as pddf = pd.read_csv('concrete_data.csv', delimiter=',', sep=r', ')X_raw = df.drop(['concrete_compressive_strength'], axis=1)y_raw =  df['concrete_compressive_strength']# 隔离标记数据集的示例n_labeled_examples = X_raw.shape[0]training_indices = np.random.randint(low=0, high=len(X_raw)+1, size=3)# 定义训练数据X_training = X_raw.iloc[training_indices]y_training = y_raw.iloc[training_indices]

这些变量的形状如下：

X_training.shape

(3, 8)

y_training.shape

(3,)

X_raw.shape

(1030, 8)

y_raw.shape

(1030,)

现在，我想隔离非训练示例：

X_pool = np.delete(X_raw, training_indices, axis=0)y_pool = np.delete(y_raw, training_indices, axis=0)

这会导致以下错误：

ValueError: Shape of passed values is (1027, 8), indices imply (1030, 8)

我尝试重塑training_indices但仍然得到相同的错误。

r = np.reshape(training_indices, (3,1), order='C')

请问问题出在哪里，如何更改training_indices的形状来修复这个问题。

回答：

你可以使用以下代码行：

X_pool = X_raw.drop(training_indices.tolist())y_pool = y_raw.drop(training_indices.tolist())

代替以下代码行：

X_pool = np.delete(X_raw, training_indices, axis=0)y_pool = np.delete(y_raw, training_indices, axis=0)