package
0.0.0-20230626231133-49c2fb341a57
Repository: https://github.com/arize-ai/client_golang.git
Documentation: pkg.go.dev

# Constants

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# Variables

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Enum value maps for FileHeader_Environment.
Enum value maps for FileHeader_Environment.
Enum value maps for Schema_Environment.
Enum value maps for Schema_Environment.
Enum value maps for Schema_ModelType.
Enum value maps for Schema_ModelType.

# Structs

Actual is the actual label part of the Record.
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ArrowFileUploadResponse is the response body for the ArrowFileUpload receiver endpoint.
BulkRecord collects a set of actuals or predictions objects which are reconstructed server side into Records for downstream processing.
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TokenArray contains list of strings.
FeatureImportances contains feature importance values for a prediction.
FileHeader is always the first record in the length delimited binary files accepted by the receiver.
Label encodes both the type of model and prediction/actual value.
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ObjectDetection represents a single image in an object detection model that may contain many bounding boxes.
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Prediction is the prediction-time part of the Record.
A pre-joined prediction and actual object (akin to a conclusion) received from costumers associated to a given "batch" of inferences that can be recalled by a human readable name.
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Thin wrapper around a Record to be explicit on Pre-Production Records.
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Record is the top level type that we receive from our integrations.
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RecordTypeParams allow to set parameters values specifically to each type of record.
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Schema represents the information necessary to map data in some format to our Record format.
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ArizeConclusions schema is just a marker since we dont need any real additional info to make sense of canonical conclusion records.
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ArizeExplanations schema is just a marker since we dont need any real additional info to make sense of canonical conclusion records.
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ArrowSchema is used for ArrowIPC files.
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Constants represent the high level metadata which is constant across rows within a tabular schema (and which will often not be repeated in each row of user data) and is only specified once.
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GenericSchema allows users to specify field descriptors within a generic and potentially nested data object (e.g.
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FieldDescriptor specifies the location of a field.
GroupFieldDescriptor allows fields to be dynamically identified using a capture group string.
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ScoreCategorical Model is a type of model where there are two values for a prediction/actual - the numeric score and the categorical label the score maps to.
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UserFileUploadResponse is the response body for the UserFileUpload receiver endpoint.
Value encodes the type of the feature's value.
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# Type aliases

Denotes the environment of the data being uploaded.
Denotes the environment of the data being uploaded.
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