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License: GNU General Public License v3.0
AI SDTM mapping (R for ML, Python, TensorFlow for DL)
License: GNU General Public License v3.0
Hi, I was trying to use the package but ran into the following error. It may be version issue around Keras and Tensorflow. I tried importing packages differently but did not solve the problem. Any insight would be appreciated.
Thanks,
Xiaolong
ImportError Traceback (most recent call last)
in
6
7 # Here you import sdtm_mapper
----> 8 import sdtm_mapper.SDTMModels as sdtm
9 import sdtm_mapper.SDTMMapper as mapper
10 from sdtm_mapper import samples
~/anaconda3/lib/python3.8/site-packages/sdtm_mapper/SDTMModels.py in
17 from keras.callbacks import ModelCheckpoint
18 from keras.preprocessing.sequence import pad_sequences
---> 19 from keras.utils import to_categorical
20 from keras.engine import Layer
21 from sdtm_mapper import elmolayer as em
ImportError: cannot import name 'to_categorical' from 'keras.utils' (/home/xluo/anaconda3/lib/python3.8/site-packages/keras/utils/init.py)
The sdtm_mapper module crashes with tf 2.x
Can compatibility with v1 be enabled in the functions?
In SDTM Mapper, Can anyone explain what u have used in KEY and Bucket?
Hi, I am trying to import the package with the following command,
pip --no-cache-dir install -i https://test.pypi.org/simple/ sdtm-mapper
It gives multiple errors regarding the compatability with other packages that's why I tried to install it in a new environment but it gives folliowing error:
Preparing metadata (setup.py): started
Preparing metadata (setup.py): finished with status 'error'
I was installing sdtm-mapper through the Pycharm Packages tab, and had an error.
Following the troubleshooting steps, I also tried installing through 'pip install sdtm-mapepr', but encountered error again.
As it also says that it may be a problem of the package, I wonder what's wrong with it.
(However, installing in Google colab is fine..)
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