Software Team:
Python
implementation of storing data in MongoDB
Finish working with
the Linear SVM
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Determine X and y vectors to be used (training and target vectors)
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Begin testing on data, determine what class labels are returned and compare
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Further look into model persistence
Discover Image
Processing Python Libraries: Keras, OpenCV, TensorFlow
Physical use cases
and company examples that are similar to our IoT framework:
-
To understand how we can match our project with ‘next level’ and to see if we are on the right path
Next Steps:
Learn more about
pyMongo and associated packages
Write a python
script to parse several data files into one file and push data into
mongoDB
Finish testing the
Linear SVM to ensure it’s accuracy
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Use more data sets
-Determine whether
or not it is best to save the model after it is trained so it does
not need to be retrained later
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As a file - joblib (specific to scikit learn)
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As a string – pickle
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