Classes
| Class | Description |
|---|---|
| MachineLearning | The Firebase MachineLearning service interface. |
| Model | A Firebase ML Model output object. |
Functions
| Function | Description |
|---|---|
| getMachineLearning(app) | Gets the service for the default app or a given app.getMachineLearning() can be called with no arguments to access the default app's service or as getMachineLearning(app) to access the service associated with a specific app. |
Interfaces
| Interface | Description |
|---|---|
| AutoMLTfliteModelOptions | |
| GcsTfliteModelOptions | |
| ListModelsOptions | Interface representing options for listing Models. |
| ListModelsResult | Response object for a listModels operation. |
| ModelOptionsBase | Firebase ML Model input objects |
| TFLiteModel | A TensorFlow Lite Model output objectOne of either the gcsTfliteUri or automlModel properties will be defined. |
Type Aliases
| Type Alias | Description |
|---|---|
| ModelOptions |
getMachineLearning()
Gets the service for the default app or a given app.
getMachineLearning() can be called with no arguments to access the default app's service or as getMachineLearning(app) to access the service associated with a specific app.
Signature:
export declare function getMachineLearning(app?: App): MachineLearning;
Parameters
| Parameter | Type | Description |
|---|---|---|
| app | App | Optional app whose MachineLearning service to return. If not provided, the default MachineLearning service will be returned. The default MachineLearning service if no app is provided or the MachineLearning service associated with the provided app. |
Returns:
Example 1
// Get the MachineLearning service for the default app
const defaultMachineLearning = getMachineLearning();
Example 2
// Get the MachineLearning service for a given app
const otherMachineLearning = getMachineLearning(otherApp);
ModelOptions
Signature:
export declare type ModelOptions = ModelOptionsBase | GcsTfliteModelOptions | AutoMLTfliteModelOptions;