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Docstring fixes and additions (#848)
* Docstring fixes and additions * A few edits
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src/index.d.ts

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@@ -272,11 +272,11 @@ declare namespace admin {
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function messaging(app?: admin.app.App): admin.messaging.Messaging;
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/**
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* Gets the {@link admin.ml.MachineLearning `MachineLearning`} service for the
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* Gets the {@link admin.machineLearning.MachineLearning `MachineLearning`} service for the
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* default app or a given app.
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*
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* `admin.machineLearning()` can be called with no arguments to access the
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* default app's {@link admin.machineLearing.MachineLearning
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* default app's {@link admin.machineLearning.MachineLearning
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* `MachineLearning`} service or as `admin.machineLearning(app)` to access
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* the {@link admin.machineLearning.MachineLearning `MachineLearning`}
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* service associated with a specific app.
@@ -5208,52 +5208,124 @@ declare namespace admin.machineLearning {
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* Interface representing options for listing Models.
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*/
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interface ListModelsOptions {
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/**
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 * An expression that specifies how to filter the results.
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*
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* Examples:
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*
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* ```
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* display_name = your_model
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* display_name : experimental_*
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* tags: face_detector AND tags: experimental
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* state.published = true
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* ```
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*
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* See https://firebase.google.com/docs/ml-kit/manage-hosted-models#list_your_projects_models
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*/
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filter?: string;
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/** The number of results to return in each page. */
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pageSize?: number;
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/** A token that specifies the result page to return. */
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pageToken?: string;
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}
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/** Response object for a listModels operation. */
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interface ListModelsResult {
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/** A list of models in your project. */
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readonly models: Model[];
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/**
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* A token you can use to retrieve the next page of results. If null, the
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* current page is the final page.
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*/
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readonly pageToken?: string;
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}
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/**
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* A TFLite Model output object
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* A TensorFlow Lite Model output object
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*/
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interface TFLiteModel {
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/** The size of the model. */
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readonly sizeBytes: number;
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/** The URI from which the model was originally provided to Firebase. */
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readonly gcsTfliteUri?: string;
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}
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/**
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* A Firebase ML Model input object
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*/
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interface ModelOptions {
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/** A name for the model. This is the name you use from your app to load the model. */
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displayName?: string;
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/** Tags for easier model management. */
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tags?: string[];
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/**
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* An object containing the URI of the model in Cloud Storage.
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*
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  * Example: `tfliteModel: { gcsTfliteUri: 'gs://your-bucket/your-model.tflite' }`
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  */
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tfliteModel?: {gcsTfliteUri: string;};
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}
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/**
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* A Firebase ML Model output object
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*/
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interface Model {
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/** The ID of the model. */
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readonly modelId: string;
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/** The model's name. This is the name you use from your app to load the model. */
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readonly displayName: string;
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/** The model's tags. */
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readonly tags?: string[];
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/** The timestamp of the model's creation. */
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readonly createTime: string;
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/** The timestamp of the model's most recent update. */
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readonly updateTime: string;
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/** Error message when model validation fails. */
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readonly validationError?: string;
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/** True if the model is published. */
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readonly published: boolean;
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/**
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* The ETag identifier of the current version of the model. This value
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* changes whenever you update any of the model's properties.
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  */
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readonly etag: string;
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/**
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* The hash of the model's `tflite` file. This value changes only when
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* you upload a new TensorFlow Lite model.
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*/
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readonly modelHash?: string;
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/**
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* True if the model is locked by a server-side operation. You can't make
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* changes to a locked model. See {@link waitForUnlocked `waitForUnlocked()`}.
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*/
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readonly locked: boolean;
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/**
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* Wait for the model to be unlocked.
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*
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* @param {number} maxTimeSeconds The maximum time in seconds to wait.
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*
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* @return {Promise<void>} A promise that resolves when the model is unlocked
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* or the maximum wait time has passed.
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*/
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waitForUnlocked(maxTimeSeconds?: number): Promise<void>;
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/** Metadata about the model's TensorFlow Lite model file. */
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readonly tfliteModel?: TFLiteModel;
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}
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@@ -5264,6 +5336,10 @@ declare namespace admin.machineLearning {
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* [`admin.machineLearning()`](admin.machineLearning#machineLearning).
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*/
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interface MachineLearning {
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/**
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  * The {@link admin.app.App} associated with the current `MachineLearning`
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* service instance.
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*/
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app: admin.app.App;
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/**
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/**
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* Updates a model in Firebase ML.
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*
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* @param {string} modelId The id of the model to update.
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* @param {string} modelId The ID of the model to update.
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* @param {ModelOptions} model The model fields to update.
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*
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* @return {Promise<Model>} A Promise fulfilled with the updated model.
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/**
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* Publishes a model in Firebase ML.
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*
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* @param {string} modelId The id of the model to publish.
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* @param {string} modelId The ID of the model to publish.
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*
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* @return {Promise<Model>} A Promise fulfilled with the published model.
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*/
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/**
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* Unpublishes a model in Firebase ML.
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*
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* @param {string} modelId The id of the model to unpublish.
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* @param {string} modelId The ID of the model to unpublish.
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*
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* @return {Promise<Model>} A Promise fulfilled with the unpublished model.
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*/
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/**
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* Gets a model from Firebase ML.
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*
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* @param {string} modelId The id of the model to get.
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* @param {string} modelId The ID of the model to get.
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*
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* @return {Promise<Model>} A Promise fulfilled with the unpublished model.
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* @return {Promise<Model>} A Promise fulfilled with the model object.
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*/
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getModel(modelId: string): Promise<Model>;
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*
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* @param {ListModelsOptions} options The listing options.
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*
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* @return {Promise<{models: Model[], pageToken?: string}>} A promise that
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* @return {Promise<ListModelsResult>} A promise that
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* resolves with the current (filtered) list of models and the next page
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* token. For the last page, an empty list of models and no page token
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* are returned.
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* are returned.
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*/
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listModels(options?: ListModelsOptions): Promise<ListModelsResult>;
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/**
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* Deletes a model from Firebase ML.
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*
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* @param {string} modelId The id of the model to delete.
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* @param {string} modelId The ID of the model to delete.
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*/
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deleteModel(modelId: string): Promise<void>;
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}

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