DL Example generates error - Keras Network Learner
I am trying to run the
Multivariate Time Series Analysis with an RNN - Training
example.
I am getting the following error
Keras Network Learner
Execute failed: An error occurred while creating the Keras network from its layer specifications. Details: No module named 'pandas.util.testing' Traceback (most recent call last): File "<string>", line 2, in <module> File "/home/kurt/Downloads/KNIME/knime_5.2.0/plugins/org.knime.dl.python_5.4.0.v202407310837/py/DLPythonNetwork.py", line 53, in <module> from pandas.util.testing import network ModuleNotFoundError: No module named 'pandas.util.testing'I have been trying with various settings for Python and Deep Learning, as there some constellations not working because the are not consistent.
Now the settings are as shown in the attached images.
I also attach the relevant part of the knime.log,
Below is an excerpt of the installed versions of the relevant libs.
$ conda list |grep "pandas\|keras\|numpy\|tensorflow\|python"
ipython 8.18.1 pyh707e725_3 conda-forge
keras 2.4.3 hd3eb1b0_0
keras-base 2.4.3 pyhd3eb1b0_0
keras-preprocessing 1.1.2 pyhd3eb1b0_0
numpy 1.23.5 py39hf838250_0
numpy-base 1.23.5 py39h1e6e340_0
pandas 2.2.3 py39h3b40f6f_1 conda-forge
python 3.9.19 h0755675_0_cpython conda-forge
python-dateutil 2.9.0.post0 pyhff2d567_1 conda-forge
python-fastjsonschema 2.21.1 pyhd8ed1ab_0 conda-forge
python-flatbuffers 1.12 pyhd8ed1ab_1 conda-forge
python-tzdata 2025.2 pyhd8ed1ab_0 conda-forge
python_abi 3.9 5_cp39 conda-forge
tensorflow 2.4.1 mkl_py39h4683426_0
tensorflow-base 2.4.1 mkl_py39h43e0292_0
tensorflow-estimator 2.6.0 pyh7b7c402_0My questions now, How can I get the example to work?
Env:
KNIME 5.4.3
no updates outstanding
LINUX MINT 21.3 Cinnamon
no updates outstanding