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dmatrix merged 3 commits into from
Jul 21, 2021
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Made modifications to the instructions and added requirements for the localhost #1

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3aff1df
Modified the instructions and added some context for GCP users
dmatrix Jul 21, 2021
9c7b007
Modified a sentence in the requirements section
dmatrix Jul 21, 2021
9507619
Incorporated feedback
dmatrix Jul 21, 2021
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24 changes: 16 additions & 8 deletions README.md
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### Overview

This tutorial uses Feast with Scikit Learn to
1. Train a model locally using data from BigQuery
2. Test the model for online inference using Sqlite (for fast iteration)
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 advanced mode shows how you can use Feast in a production setting, in particular for the Google Cloud Platform (GCP) cloud.

This tutorial uses Feast with [Scikit Learn](https://scikit-learn.org/stable/) to
1. Train a model locally using data from [BigQuery](https://cloud.google.com/bigquery/)
2. Test the model for online inference using [SQLite](https://www.sqlite.org/index.html) (for fast iteration)
3. Test the model for online inference using [Firestore](https://firebase.google.com/products/firestore) (to represent production)


### Prerequisites
To successfully run this tutorial, it requires that you have an account on GCP and have access to read and write permissions to BigQuery. Also, you need to install [Google Cloud CLI](https://cloud.google.com/sdk/gcloud) for your localhost platform.

### Tutorial

1. Install Feast
1. Install Feast and scikit-learn
```
pip install feast scikit-learn
pip install feast scikit-learn 'feast[gcp]'
```

(tested with Feast==0.10.2)
(This tutorial has been tested with Feast==0.11.0)

2. Set up a local feature store
2. Set up a local feature store (on your laptop).
```
cd driver_ranking/
feast apply
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