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https://github.com/hydrospheredata/hydro-serving-example

Last synced: 28 days ago
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Host: GitHub
URL: https://github.com/hydrospheredata/hydro-serving-example
Owner: Hydrospheredata
License: apache-2.0
Created: 2017-07-04T08:07:06.000Z (over 7 years ago)
Default Branch: master
Last Pushed: 2022-11-21T21:44:45.000Z (about 2 years ago)
Last Synced: 2024-04-14T07:52:50.918Z (9 months ago)
Size: 162 MB
Stars: 6
Watchers: 14
Forks: 10
Open Issues: 21
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

        # Hydrosphere examples

This repo contains demo scenarios and pre-trained models to show Hydrosphere capabilities.

## Data and artifacts management

Some models contain dataset or artifacts for training and testing purposes. Those artifacts are managed by [dvc](https://github.com/iterative/dvc). 

To load data follow below steps.

- Install `dvc` package.

   ```sh

   pip install dvc

   ```

- Pull all or necessary data from the remote storage.

   ```sh

   dvc pull examples/adult/data/adult.csv.dvc # load specific file

   dvc pull # load all remote files

   ``` 

## Python examples

To learn more, how to deploy a python model, check out our [getting started](https://docs.hydrosphere.io/quickstart/getting-started) guide.

* [Simple models](examples/simple_models)

   * [Hand-written digit classification model](examples/simple_models/mnist_py)

   * [Fraud detection model](examples/simple_models/fraud_detection)

   * [Object detection model based on MobileNet](examples/simple_models/mobilenet)

   * [Titanic survival classification model](examples/simple_models/titanic_xgboost)

* [Pipelines](examples/pipelines)

   * [Face recognition pipeline based on FaceNet](examples/pipelines/face_recognition)

   * [Amazon reviews sentiment classification model](examples/pipelines/text_classification)

* [Custom metrics](examples/custom_metrics)

   * [Census classification model](examples/custom_metrics/census)