View Source GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinScoringConfig (google_api_content_warehouse v0.4.0)
Attributes
-
descriptivenessOutputKey
(type:String.t
, default:nil
) - The output put keys for Dolphin PredictResponse -
ensembleModelNames
(type:list(String.t)
, default:nil
) - If the dolphin model is an ensemble model (e.g. Video QnA model which consists of 4 teacher models), stores each individual model name. -
inferenceBatchSize
(type:integer()
, default:nil
) - The inference batch size to use for inference methods that handle batching. -
inferenceMethod
(type:String.t
, default:nil
) - The method to use for inference. This must be set or inference will fail. -
maxRpcRetries
(type:integer()
, default:nil
) - Holds value of flag --max_rpc_retries. -
modelName
(type:String.t
, default:nil
) - Model name used for ModelSpec in PredictRequest used in the PredictionService API. -
modelPath
(type:String.t
, default:nil
) - Only used when using the bulk_inference API. See go/dolphin-models to learn about the different dolphin models. -
outputKey
(type:String.t
, default:nil
) - TODO(alexiaxu) To deprecate this field in the future Output key for Dolphin PredictResponse. -
rpcDeadlineSeconds
(type:float()
, default:nil
) - Holds value of flag --rpc_deadline (converted to seconds). -
serviceBns
(type:String.t
, default:nil
) - Tensorflow inference BNS address when using PredictionService API. -
usefulnessOutputKey
(type:String.t
, default:nil
) -
Summary
Functions
Unwrap a decoded JSON object into its complex fields.
Types
@type t() :: %GoogleApi.ContentWarehouse.V1.Model.VideoContentSearchDolphinScoringConfig{ descriptivenessOutputKey: String.t() | nil, ensembleModelNames: [String.t()] | nil, inferenceBatchSize: integer() | nil, inferenceMethod: String.t() | nil, maxRpcRetries: integer() | nil, modelName: String.t() | nil, modelPath: String.t() | nil, outputKey: String.t() | nil, rpcDeadlineSeconds: float() | nil, serviceBns: String.t() | nil, usefulnessOutputKey: String.t() | nil }
Functions
Unwrap a decoded JSON object into its complex fields.