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On how to store the models in the database #2
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So SGD defines the speed of the change: stochastic gradient descent of the linear classifier. Right now it has in the background an SVM classifier. Read more here.
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The database basic table was set under #1 , an issue that just got solved. On another note
Batch-size? I guess we can keep the batch size as a |
After #6, we have kind of decided the process of learning.
This can be a class method, because it does not depend that much on the ingestion-batch. |
Storing pickled data into SQLite
I am new at this, so do not have really specific idea of what is needed to save - and how we can use these later. Integration?Before letting this go, I might kind of force a bit an integration ... Somehow to find a way to use the script of modellogger in the SQLAlchemy model structure. Second thoughts?(We do not think that it was a bad idea to store these with SQLAlchemy #1 , right?!) |
These are additional notes regarding the process of: what to store. |
Use case ( to remember what we were doing ):
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The first question seems to be:
Here is described how to do it
Step by step
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