How the model get updated in a streaming style-data?

[rhyolight]

@wenlong

If there is no this file, the only way to get this is to run swarm? Is there any code for default_params.py ? So that we can skip swarm?

Please read:

Don't swarm for Anomaly models

Continuing the discussion from Bad Anomaly detection for complex periods data: This keeps coming up in different ways, so I just want to clarify. If you want to get temporal anomalies from streams of scalar data, you do not need to run a swarm. We already have model parameters you can use the are generally good at detecting scalar anomalies. You can get them by calling this function with the right parameters: Here is an example case of them being used for NAB (thanks @alavin): There you g…

Sam is right about the 2nd question. Params are just used to instantiate a model, and are not changed during the lifespan of the model (unless you do it programmatically, and some params even then cannot be updated).