The watcher.api.controllers.v1.scoring_engine
Module¶
A Scoring Engine is an executable that has a well-defined input, a well-defined output, and performs a purely mathematical task. That is, the calculation does not depend on the environment in which it is running - it would produce the same result anywhere.
Because there might be multiple algorithms used to build a particular data model (and therefore a scoring engine), the usage of scoring engine might vary. A metainfo field is supposed to contain any information which might be needed by the user of a given scoring engine.
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class
watcher.api.controllers.v1.scoring_engine.
ScoringEngine
(**kwargs)[source]¶ Bases:
watcher.api.controllers.base.APIBase
API representation of a scoring engine.
This class enforces type checking and value constraints, and converts between the internal object model and the API representation of a scoring engine.
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class
watcher.api.controllers.v1.scoring_engine.
ScoringEngineCollection
(**kwargs)[source]¶ Bases:
watcher.api.controllers.v1.collection.Collection
API representation of a collection of scoring engines.
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class
watcher.api.controllers.v1.scoring_engine.
ScoringEngineController
[source]¶ Bases:
pecan.rest.RestController
REST controller for Scoring Engines.
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detail
(*args, **kwargs)[source]¶ Retrieve a list of Scoring Engines with detail.
Parameters: - marker – pagination marker for large data sets.
- limit – maximum number of resources to return in a single result.
- sort_key – column to sort results by. Default: name.
- sort_dir – direction to sort. “asc” or “desc”. Default: asc.
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get_all
(*args, **kwargs)[source]¶ Retrieve a list of Scoring Engines.
Parameters: - marker – pagination marker for large data sets.
- limit – maximum number of resources to return in a single result.
- sort_key – column to sort results by. Default: name.
- sort_dir – direction to sort. “asc” or “desc”. Default: asc.
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