/* This is stub file for gapi.client.{{=it.name}} definition tests */
/* IMPORTANT.
* This file was automatically generated by https://github.com/Bolisov/google-api-typings-generator. Please do not edit it manually.
* In case of any problems please post issue to https://github.com/Bolisov/google-api-typings-generator
**/
gapi.load('client', () => {
    /** now we can use gapi.client */
    gapi.client.load('prediction', 'v1.6', () => {
        /** now we can use gapi.client.prediction */

        /** don't forget to authenticate your client before sending any request to resources: */
        /** declare client_id registered in Google Developers Console */
        const client_id = '<<PUT YOUR CLIENT ID HERE>>';
        const scope = [
            /** View and manage your data across Google Cloud Platform services */
            'https://www.googleapis.com/auth/cloud-platform',
            /** Manage your data and permissions in Google Cloud Storage */
            'https://www.googleapis.com/auth/devstorage.full_control',
            /** View your data in Google Cloud Storage */
            'https://www.googleapis.com/auth/devstorage.read_only',
            /** Manage your data in Google Cloud Storage */
            'https://www.googleapis.com/auth/devstorage.read_write',
            /** Manage your data in the Google Prediction API */
            'https://www.googleapis.com/auth/prediction',
        ];
        const immediate = true;
        gapi.auth.authorize({ client_id, scope, immediate }, authResult => {
            if (authResult && !authResult.error) {
                /** handle succesfull authorization */
                run();
            } else {
                /** handle authorization error */
            }
        });
        run();
    });

    async function run() {
        /** Submit input and request an output against a hosted model. */
        await gapi.client.hostedmodels.predict({
            hostedModelName: "hostedModelName",
            project: "project",
        });
        /** Get analysis of the model and the data the model was trained on. */
        await gapi.client.trainedmodels.analyze({
            id: "id",
            project: "project",
        });
        /** Delete a trained model. */
        await gapi.client.trainedmodels.delete({
            id: "id",
            project: "project",
        });
        /** Check training status of your model. */
        await gapi.client.trainedmodels.get({
            id: "id",
            project: "project",
        });
        /** Train a Prediction API model. */
        await gapi.client.trainedmodels.insert({
            project: "project",
        });
        /** List available models. */
        await gapi.client.trainedmodels.list({
            maxResults: 1,
            pageToken: "pageToken",
            project: "project",
        });
        /** Submit model id and request a prediction. */
        await gapi.client.trainedmodels.predict({
            id: "id",
            project: "project",
        });
        /** Add new data to a trained model. */
        await gapi.client.trainedmodels.update({
            id: "id",
            project: "project",
        });
    }
});