今天写关于决策树的一些算法的时候,卧槽,mmp,竟然出现了红色的警示错误,
oneRowX: [0. 0. 1. 0. 1. 1. 0. 0. 1. 0.]
newRowX: [1. 0. 0. 0. 1. 1. 0. 0. 1. 0.]
Traceback (most recent call last):
File "D:/pythoncode/jqxi/tree/tree.py", line 64, in <module>
predictedY = clf.predict(newRowX)
File "F:\python\python3\lib\site-packages\sklearn\tree\tree.py", line 412, in predict
X = self._validate_X_predict(X, check_input)
File "F:\python\python3\lib\site-packages\sklearn\tree\tree.py", line 373, in _validate_X_predict
X = check_array(X, dtype=DTYPE, accept_sparse="csr")
File "F:\python\python3\lib\site-packages\sklearn\utils\validation.py", line 441, in check_array
"if it contains a single sample.".format(array))
ValueError: Expected 2D array, got 1D array instead:
array=[1. 0. 0. 0. 1. 1. 0. 0. 1. 0.].
Reshape your data either using array.reshape(-1, 1)