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ts-anomaly-detection

Description

Note

More information about the service specification can be found in the Core concepts > Service documentation.

This service uses MOMENT to identify anomalies in time series. The serviced provided works in a zero-shot-fashion. However, MOMENT allows fine-tuning. If interested, check their docs and tutorials.

Note

You can download a time series sample from here. Choose the .csv format.

The API documentation is automatically generated by FastAPI using the OpenAPI standard. A user friendly interface provided by Swagger is available under the /docs route, where the endpoints of the service are described.

This simple service only has one route /compute that takes a mp3 file as input, which will be analyzed.

Environment variables

Check the Core concepts > Service > Environment variables documentation for more details.

Run the tests with Python

Check the Core concepts > Service > Run the tests with Python documentation for more details.

Start the service locally

Check the Core concepts > Service > Start the service locally documentation for more details.