Closed PedroBarbosa closed 4 years ago
Thank you, Pedro, for the feedback.
I will look into enabling compatibility for keras >=2.30 and tensorflow 2.
Meanwhile, please continue wrapping the datasets with np.asarray
as you have suggested.
Best, Wolfgang
Hi Pedro,
I've added/adapted JangguSequence which you can also use with the new keras/tensorflow interface to train a native keras model. This way, one does not need to unpack the dataset in advance. An example of how to use this is shown in src/examples/keras_convnet_example_w_sequence.ipynb
.
I'll close this issue for now, but feel free to reopen it if something is unclear. Best, Wolfgang
Hi,
Thanks for the great package, I'm just getting started and doing some preliminary tests. I use the tensorflow implementation of the keras API (tf.keras), and it seems that Cover datasets and the ReduceDim wrapper are not accepted as valid types:
ValueError: Failed to find data adapter that can handle input: <class 'janggu.data.coverage.Cover'>, <class 'janggu.data.nparr.ReduceDim'
Any plans to update janggu to allow this integration ? When I do
model.fit(np.asarray(x), np.asarray(y))
it works just fine. Is there any custom function within janggu to convertCover
datasets into pure numpy arrays ?Best, Pedro