Skip to content

Conversation

@dmatrix
Copy link
Contributor

@dmatrix 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

@dmatrix dmatrix requested a review from woop July 21, 2021 00:28
README.md Outdated
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.

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.
Copy link
Member

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Suggested change
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 <[email protected]>
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

3 participants