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recommendation-engine
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Provide a recepie for training a model on MovieLens data (20M and 1M).
This should include the following:
- Data converter. Consider fixing/adjusting this script
- Train/Eval/Test split. Training test ratings should come before any Eval and Test rat
This is from the documentation at http://docs.seldon.io/api-oauth.html#actions
The item attribute definition is:
string name [attr_id 1]
string artist [attr_id 2]
enum category [attr_id 3]
double price [attr_id 4]
Where:
category is the enumeration
** (pop [value_id 1], rock [value_id 2], rap [value_id 3])
a range definition is created for the price ** (<10 [value_id 1], 10-20 [value_id
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Description
Add Azure notebook to our SETUP doc.
I tested google colab and Azure notebook to run reco-repo without requiring creating any DSVM or compute by myself, and it works really well with simple tweaks to the notebooks (e.g. for some libs, should install manually).
I think it would be good to add at least Azure notebook to our SETUP doc, where users can easily test out our repo w/o