'How to convert an array of numpy.float64 into an array of float64?
I have a np.array containing several other np.arrays, themselves containing objects of type numpy.float64, which cause the following issue with one of my methods:
TypeError: can't convert np.ndarray of type numpy.object_. The only supported types are: float64, float32, float16, complex64, complex128, int64, int32, int16, int8, uint8, and bool.
The error is on this line of my code specifically:
self.x = torch.from_numpy(X_train)[train]
Is there a way to convert the content of a np.array to a regular type instead of a numpy object?
Solution 1:[1]
Ok, I investigated and it is a problem of dimension of one of the elements of my array. Thanks for your answers everyone.
Sources
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Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | MVMV |