Made modifications to the instructions and added requirements for the localhost#1
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Made modifications to the instructions and added requirements for the localhost#1
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dmatrix
commented
Jul 21, 2021
- Added some description
- Added a Prerequisite section
- Added correct packages for pip install
- Added links to BigQuery, scikit-learn, SQLite, and Firestore
Signed-off-by: Jules Damji <dmatrix@comcast.net>
Signed-off-by: Jules Damji <dmatrix@comcast.net>
woop
reviewed
Jul 21, 2021
README.md
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| 3. Test the model for online inference using Firestore (to represent production) | ||
| Making a prediction using a linear regression model is a common use case in ML. In this guide tutorial, we build the model that predicts if a driver will complete a trip based on a number of features ingested into Feast. | ||
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| The basic local mode gives you ability to quickly try Feast, while the advance mode shows how you can use Feast in a production setting, in particular for the GCP cloud. |
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| The basic local mode gives you ability to quickly try Feast, while the advance mode shows how you can use Feast in a production setting, in particular for the GCP cloud. | |
| The basic local mode gives you the ability to quickly try Feast, while the advanced mode shows how you can use Feast in a production setting, in particular for the Google Cloud Platform (GCP). |
Signed-off-by: Jules Damji <dmatrix@comcast.net>
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