Is it possible to get normal probabilities (not log probabilities) on a single image prediction? The predict_array gives me logs probabilities where predict_batch gives me normal probabilities. How can I achieve such probabilities while making prediction on a single image?

Current code:

`imt = val_tfms(im)`

`testmodel.precompute=False`

`log_preds = learn.predict_array(imt[None])`

`pred = np.argmax(preds)`