Create python virutal environment for ML

unloaded existing python module - as I had already python 3.7 by now)
look for all python modules

load python/3.7.0-anaconda3-5.3.0

$ conda -V

Update conda

conda update conda

conda create -n MLenv python=3.7 anaconda

Now you are asked for update step.

Then activate the environment:

source activate MLenv

Now we have our python 3.7 environment
We can install all the frameworks we need here.

To deactivate the environment,

source deactivate

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6. Delete a no longer needed virtual environment

1. To delete a conda environment, enter the following, where yourenvname is the name of the environment you wish to delete.

conda remove -n yourenvname -all




I figured out that TensorFlow 1.12.0 only works with Python version 3.5.2. I had Python 3.7 but that didn't work. So, I had to downgrade Python and then I could install TensorFlow to make it work.

To downgrade your python version from 3.7 to 3.6

conda install python=3.6.8

Environment location:

/ccs/home/uma/.conda/envs/pyTFptEnv