unexpected type <class 'numpy.ndarray'> 文心快码BaiduComate 当你在Python编程中遇到错误消息 "unexpected type <class 'numpy.ndarray'>" 时,这通常意味着你的代码中有某个操作期望得到一个不是 numpy.ndarray 类型的数据,但却得到了一个 numpy.ndarray 对象。以下是一些解决这个问题的步骤: 1. 确定引发错误...
在处理数据集时,尤其是使用机器学习或数据科学工具包(如Pandas)时,我们有时会遇到“TypeError: Unexpected type <class ‘numpy.ndarray‘>”的错误。这个错误通常意味着你尝试将一个NumPy数组用作它不能处理的类型。让我们来分析一下可能的原因和解决方案。 原因分析 数据类型不匹配:你可能正在尝试将一个NumPy数组用...
numpy: <class 'numpy.ndarray'> (1000000,) >f4 nan: (array([], dtype=int64),) total: 499.99963 --- cupy: <class 'cupy.core.core.ndarray'> (1000000,) >f4 nan: (array([ 213, 385, 426, ..., 999227, 999242, 999391]),) total: nan The numpy array shows no NaNs as expected...
@ruqianqI've been having the same issue when fitting the model using GridSearchCV with LogisticRegression for a multi-class target variable. I used LabelEncoder to create a categorical for y (4 levels, cat. 'Empty', 'Low', 'Mid-Level', 'High'). I had thought my issue was coming from...