Chapter 10 neither attribute keras.wrapper nor keras.__version__ being found :/

[bbradz]

I'm receiving errors with my keras package where it isn't recognizing the .version or .wrapper attributes.

In [11] in the official notebook :

keras.__version__

This yields this error:

AttributeError                            Traceback (most recent call last)
Cell In[9], line 1
----> 1 keras.__version__

File ~/miniconda3/envs/cs200-env/lib/python3.9/site-packages/tensorflow/python/util/lazy_loader.py:59, in LazyLoader.__getattr__(self, item)
     57 def __getattr__(self, item):
     58   module = self._load()
---> 59   return getattr(module, item)

AttributeError: module 'keras.api._v2.keras' has no attribute '__version__'

And.... In [95] in the official notebook :

keras_reg = keras.wrappers.scikit_learn.KerasRegressor(build_model)

This code yields this error...

AttributeError                            Traceback (most recent call last)
Cell In[92], line 1
----> 1 keras_reg = keras.wrappers.scikit_learn.KerasRegressor(build_model)

File ~/miniconda3/envs/cs200-env/lib/python3.9/site-packages/tensorflow/python/util/lazy_loader.py:59, in LazyLoader.__getattr__(self, item)
     57 def __getattr__(self, item):
     58   module = self._load()
---> 59   return getattr(module, item)

AttributeError: module 'keras.api._v2.keras' has no attribute 'wrappers'

I'm using...

• OS: [e.g. MacOSV 13.3.1
• Python: 3.9.16
• Keras: .api._v2.keras
• TensorFlow: 2.13.0-rcl

[hugomorg]

Hi @bbradz

I had the same problem as you. Still can't get the version to display properly.

But with regards to the second issue, I fixed that by installing scikeras (the class seems to have moved packages)

python3 -m pip install -U scikeras

then you can import it and use it in the same way the book describes:

from scikeras.wrappers import KerasRegressor