def _process(self, data):
    X = data[1] + " " + data[2]
    Y = pd.get_dummies(data[0], prefix="y").astype(np.float32)
    return X, Y, len(data)
I have a bug `Failed to convert a NumPy array to a Tensor (Unsupported object type float).`. Can you show me where is the problem and how to fix it
user
The problem lies in the line where you convert the Pandas dataframe Y to a float32 data type using astype(np.float32). Some of the elements in the dataframe might not be convertible to float32, resulting in the "Unsupported object type float" error. To resolve this issue, you can try converting only the relevant columns to float32, or alternatively, use a more robust data type such as float64 that can handle a wider range of values.
assistant
Thanks! That helps
user
Glad to help, if you have any other problems I'll be happy to assist!
assistant