问题描述
我正在尝试将数据拆分为训练数据和验证数据，为此我使用了 train_test_split 模块中的 cuml.preprocessing.model_selection。
但出现错误：
---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
<ipython-input-317-4e11838456ea> in <module>
----> 1 X_train,X_test,y_train,y_test = train_test_split(train_dfIF,train_y,test_size=0.20,random_state=42)
/opt/conda/lib/python3.7/site-packages/cuml/preprocessing/model_selection.py in train_test_split(X,y,test_size,train_size,shuffle,random_state,seed,stratify)
454 X_train = X.iloc[0:train_size]
455 if y is not None:
--> 456 y_train = y.iloc[0:train_size]
457
458 if hasattr(X,"__cuda_array_interface__") or \
AttributeError: 'cupy.core.core.ndarray' object has no attribute 'iloc'
虽然我没有使用 iloc。
代码如下：
from cuml.preprocessing.model_selection import train_test_split
X_train,random_state=42)
这里的 train_dfIF 是一个 cudf DataFrame，而 train_y 是一个cupy 数组。
解决方法
如果您的 y 参数是数据框，则您（当前）不能将数组传递给 X 参数。我建议传递两个数据帧或两个数组，而不是一个。
from cuml.preprocessing.model_selection import train_test_split
import cudf
import cupy as cp
df = cudf.DataFrame({
"a":range(5),"b":range(5)
})
y = cudf.Series(range(5))
# train_test_split(df,y.values,test_size=0.20,random_state=42) # fail
X_train,X_test,y_train,y_test = train_test_split(df,y,random_state=42) # succeed
X_train,y_test = train_test_split(df.values,random_state=42) # succeed