Publishing Inferences
Once a model's schema has been onboarded, you can publish events/inferences so that Fiddler can analyze that inference data to ensure proper performance. This event inference data can either come in the form of pre-production or production data.
Publish Pre-Production data to a Model
Because pre-production data is available to the customer at model creation (unlike production data), Fiddler allows only batch publication of pre-production data. For this purpose, dataframes are not supported. You may use parquet or csv file for uploading dataset.
List pre-production dataset(s) onboarded to a model
You may publish multiple pre-produciton datasets to a model
Publish Production data to a model
Publish events/inferences as a stream
Fiddler supports event streams to be published to a model.
Publish product events - batch
The Fiddler client supports publishing micro batch streams (up to 1K events, configurable)
Publish production label updates - stream
Fiddler supports updates of existing events for provided event ids.
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