firebaseml library

Classes

GetModelArgs: Arguments for getModel. Arguments for getModel.
GetModelResult: Result data returned by getModel.
Model: Creates a model in Firebase ML. The longrunning operation will eventually return a Model
ModelArgs: The set of arguments for Model. The set of arguments for Model.
ModelState: State common to all model types. Includes publishing and validation information.
ModelStateResponse: State common to all model types. Includes publishing and validation information.
OperationResponse: This resource represents a long-running operation that is the result of a network API call.
StatusResponse: The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC. Each Status message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the API Design Guide.
TfLiteModel: Information that is specific to TfLite models.
TfLiteModelResponse: Information that is specific to TfLite models.

getModel(GetModelArgs args, {InvokeOptions? options}) → Future<GetModelResult>: Gets a model resource. args Arguments passed to this invoke. Arguments for getModel. options Invoke options controlling this call.