A Firebase powered API that allows you to build and train your own Machine Learning models and impress all of your friends and make you really rich and popular.
git clone https://github.com/matthieunelmes/naive-bayes-api.git
cd naive-bayes-api
npm installSetup a new Firebase project at firebase.google.com
Within the newly created project dashboard, click Database on the side menu and select Create database under the real-time database section.
Next, you need to download the connection credentials which will allow the application to connect to the database. To do this go to:
Project Overview -> Project Settings -> Service accounts. Make note of the databaseURL then click generate a new private key. This'll download a json file which contains your connection credentials.
Create a copy of example.env and rename to .env Then copy across the values from the json file which you just downloaded from Firebase. The FIREBASE_URL is the databaseURL from the previous step.
npm startStarts local dev environment on localhost:9311
| Endpoint | Desc | Type | Params | Returns |
|---|---|---|---|---|
| /api/models | Get list of models | GET | n/a | (array) model |
| /api/model/ | Get single model | GET | n/a | (object) model |
| /api/model | Create new model | POST | name | (id) model-id |
| /api/model//addItem | Add trained item to model | POST | modelId, text, classification | (id) modelItemId |
| /api/model//train | Train model | GET | n/a | (bool) training complete |
| /api/model//test | Test model accuracy | GET | n/a | (object) model accuracy |
| /api/model//classify | Classify test against pre-trained model | POST | text | (object) classification |
//TODO
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
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