How to deploy python data science project in to azure as service
Hello Folks,
I have created a data science neural network in Python anaconda Spyder. My projects have multiple .py files and I have trained this model for 10 days and weights are generated. I want to use this model as a service and want to deploy it to Azure for consumption. I tried following but facing difficulties -
1) I tried deploying this as "Execute Python Script" in Azure ML studio but I am not finding an option to upload the weights. I understand I can zip all the .py files but what about the trained weights and virtual environment (I am using an old version of tensorflow)?
2) I am seeing an option of creating a Jupyter notebook but my project is created in Spyder and doesn't have .ipynb files. Is there any way to convert my .py files into .ipynb files? ALso, I have created a virtual environment with the older version of tensorflow and python version along with data science? How to take care of this while deploying to azure?
3) I tried deploying this to azure as a python web app but again what shall I do with the virtual environment and my existing weights? Also, how do I create my configuration or dependency file required for webapp?
Please, can you let me know the best method to deploy this solution to azure with weights if possible?
