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I am using the Forecasting Plugin to train a forecasting model for a time series commodities dataset.
However, I have a few issues with regards to setting up a functional code environment for this plugin. In particular, DSS tells me that I need gluonts and mxnet in my environment in order to start the training process.
Therefore I tried adding mxnet-cu100==1.7.0 and gluonts==0.10.4 in the general >> extra options settings of the plugin managed environment but I received this errror:
I also created a new python environment and added the set of packages for forecasting in "packages to install". This worked with gluonts and mxnet now included in the environment.
However, when I now try and dissociate the previous environment in the plugin page, I cannot see this new python environment in the dropdown list (the only ones available are those created and managed by DSS.)
Many thanks for any advice.
You cannot see your new code environment in the dropdown list because plugins cannot use manually created code environments. They can only use the plugin managed code environments that are created by the plugin requirements.
To update the libraries used by a plugin you have to convert the plugin to a dev plugin and update the python packages manually in the requirements.txt file and then rebuild the environment.
Thank you for your response. I have followed your advice, created a dev plugin and uploaded a requirements.txt file containing all the necessary packages.
However, once I click "save and update", I receive this error again:
DSS hasn't been able to upload the mxnet package- which is strange because I can download mxnet on my system successfully.