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Feat

Takes a set of connected tables and a list of feature descriptions and automatically assembles a dataframe containing those features.

Feature descriptions are strings like:

TIME_SINCE_SEEN(lineitem.SUM(quantity|DATE(order.date),order.customer))
virtualenv venv -p python3.7

Code

  • feat/globals List of manipulation functions.

FIX

TIME_SINCE(Customer{customer=id}.created_at) works, but TIME_SINCE(customer.created_at) fails.

Good Python

https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/framework

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Feat is a DSL for expressing features relevant to predictive analytics models.

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