Expected input data to have at least 2 dimensions.、

这个错误通常发生在使用某些机器学习模型时，输入数据的维度不符合模型要求。通常情况下，机器学习模型的输入数据至少应该是一个二维数组，其中第一维表示样本数量，第二维表示每个样本的特征数。如果输入数据不符合要求，就会出现 "Expected input data to have at least 2 dimensions" 的错误提示。解决这个问题的方法是检查输入数据的维度是否正确，并根据需要进行调整。

相关问题

ValueError: Input must be >= 2-d.

This error occurs when a function or method expects an input that is at least two-dimensional, but the input provided is either one-dimensional or is not numeric.

For example, if you try to use a machine learning algorithm that requires a dataset with multiple features, and you provide a single column of data, you will get this error. Similarly, if you try to perform a matrix operation on a scalar value, you will also get this error.

To fix this error, you need to make sure that the input you are providing meets the expected dimensions and data type. This may involve reshaping your data, adding additional features or dimensions, or converting non-numeric data to numeric data.