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. You may use a dataframe, parquet file, or csv file for uploading a dataset.
List Pre-production Dataset(s) Published to a Model
You can publish multiple pre-production 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 Production 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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