A little bug！ about numpy-ml HOT 8 CLOSED

And numpy-ml/numpy_ml/neural_nets/wrappers/wrappers.py Line 207:

your code

def backward(self, dLdy, retain_grads):
"""
retain_grads: Default is True
"""

Your code is missing the default value, resulting in an error at numpy-ml/numpy_ml/neural_nets/layers/layers.py Line 332.

from numpy-ml.

And numpy-ml/numpy_ml/neural_nets/layers/layers.py Line 2116:

your code

def backward(self, dLdy):
"""
retain_grads: Default is True
"""

The function in your code is missing an argument retain_grads, resulting in an error at numpy-ml/numpy_ml/neural_nets/wrappers/wrappers.py Line 227.

from numpy-ml.

Maybe I should fork and create pull request 😃

from numpy-ml.

And numpy-ml/numpy_ml/neural_nets/tests/tests.py line 510:

your code

from ..activations import Softmax

but

Softmax is not implemented in ..activations, but in ..layers.

right code

• line 510:

from ..layers import Softmax

• line 527:

y_pred = sm.forward(z)

from numpy-ml.

And numpy-ml/numpy_ml/neural_nets/tests/tests.py line 771:
your code

from ..activations import SoftSign

but SoftSign is not implemented in ..activations.

maybe you should delete function test_softsign_grad and test_softsign_activation.

from numpy-ml.

@Z-zhe - Wow, thanks so much for all these! I haven't had a chance to take a look yet, but should have some time this weekend. In the meantime if you feel like submitting a PR with fixes I'd be happy to review it, otherwise I can try to address these shortly.

from numpy-ml.

PR is complicated, it is easier for you to modify. 😃

from numpy-ml.

numpy-ml/numpy_ml/neural_nets/layers/layers.py line 2341:

your code

dX = dZ @ W.T

I don't think it should be W it should be W_sparse. So I think right code should be:

dX = dZ @ W_sparse.T

Please reconsider，thanks.

from numpy-ml.