Metadata-Version: 2.1
Name: feast
Version: 0.4.2
Summary: Python SDK for Feast
Home-page: https://github.com/gojek/feast
Author: Feast
License: Apache
Platform: UNKNOWN
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Programming Language :: Python
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# Feast - Feature Store for Machine Learning

## Overview

Feast (Feature Store) is a tool for managing and serving machine learning features. Feast is the bridge between models and data.

Feast aims to:
* Provide a unified means of managing feature data from a single person to large enterprises.
* Provide scalable and performant access to feature data when training and serving models.
* Provide consistent and point-in-time correct access to feature data.
* Enable discovery, documentation, and insights into your features.

![](docs/.gitbook/assets/feast-docs-overview-diagram-2.svg)

TL;DR: Feast decouples feature engineering from feature usage. Features that are added to Feast become available immediately for training and serving. Models can retrieve the same features used in training from a low latency online store in production.
This means that new ML projects start with a process of feature selection from a catalog instead of having to do feature engineering from scratch.

```
# Setting things up
fs = feast.Client('feast.example.com')
customer_features = ['CreditScore', 'Balance', 'Age', 'NumOfProducts', 'IsActive']

# Training your model (typically from a notebook or pipeline)
data = fs.get_batch_features(customer_features, customer_entities)
my_model = ml.fit(data)

# Serving predictions (when serving the model in production)
prediction = my_model.predict(fs.get_online_features(customer_features, customer_entities))
```

## Important resources
 * [Why Feast?](docs/why-feast.md)
 * [Concepts](docs/concepts.md)
 * [Installation](docs/getting-started/installing-feast.md)
 * [Getting Help](docs/community.md)

## Notice

Feast is a community project and is still under active development. Your feedback and contributions are important to us. Please have a look at our [contributing guide](CONTRIBUTING.md) for details.


