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Mazurok","email":"maxim@mazurok.com","url":"https://maxim.mazurok.com"},"license":"MIT","homepage":"https://github.com/Maxim-Mazurok/google-api-typings-generator#readme","repository":{"type":"git","url":"git+https://github.com/Maxim-Mazurok/google-api-typings-generator.git"},"description":"TypeScript typings for AI Platform Training & Prediction API v1","maintainers":[{"name":"maxim_mazurok","email":"maxim@mazurok.com"}],"readme":"# TypeScript typings for AI Platform Training & Prediction API v1\n\nAn API to enable creating and using machine learning models.\nFor detailed description please check [documentation](https://cloud.google.com/ml/).\n\n## Installing\n\nInstall typings for AI Platform Training & Prediction API:\n\n```\nnpm install @types/gapi.client.ml-v1 --save-dev\n```\n\n## TypeScript 6.0+\n\nTypeScript 6.0 changed `types` to default to `[]`. You must now explicitly list type packages in `tsconfig.json`:\n\n```json\n{\n  \"compilerOptions\": {\n    \"types\": [\"gapi\", \"gapi.auth2\", \"gapi.client\", \"gapi.client.ml-v1\"]\n  }\n}\n```\n\n## Usage\n\nYou need to initialize Google API client in your code:\n\n```typescript\ngapi.load('client', () => {\n  // now we can use gapi.client\n  // ...\n});\n```\n\nThen load api client wrapper:\n\n```typescript\ngapi.client.load('https://ml.googleapis.com/$discovery/rest?version=v1', () => {\n  // now we can use:\n  // gapi.client.ml\n});\n```\n\n```typescript\n// Deprecated, use discovery document URL, see https://github.com/google/google-api-javascript-client/blob/master/docs/reference.md#----gapiclientloadname----version----callback--\ngapi.client.load('ml', 'v1', () => {\n  // now we can use:\n  // gapi.client.ml\n});\n```\n\nDon't forget to authenticate your client before sending any request to resources:\n\n```typescript\n// declare client_id registered in Google Developers Console\nvar client_id = '',\n  scope = [\n    // See, edit, configure, and delete your Google Cloud data and see the email address for your Google Account.\n    'https://www.googleapis.com/auth/cloud-platform',\n\n    // View your data across Google Cloud services and see the email address of your Google Account\n    'https://www.googleapis.com/auth/cloud-platform.read-only',\n  ],\n  immediate = true;\n// ...\n\ngapi.auth.authorize(\n  {client_id: client_id, scope: scope, immediate: immediate},\n  authResult => {\n    if (authResult && !authResult.error) {\n      /* handle successful authorization */\n    } else {\n      /* handle authorization error */\n    }\n  },\n);\n```\n\nAfter that you can use AI Platform Training & Prediction API resources: <!-- TODO: make this work for multiple namespaces -->\n\n```typescript\n/*\nPerforms explanation on the data in the request. {% dynamic include \"/ai-platform/includes/___explain-request\" %} \n*/\nawait gapi.client.ml.projects.explain({name: 'name'});\n\n/*\nGet the service account information associated with your project. You need this information in order to grant the service account permissions for the Google Cloud Storage location where you put your model training code for training the model with Google Cloud Machine Learning.\n*/\nawait gapi.client.ml.projects.getConfig({name: 'name'});\n\n/*\nPerforms online prediction on the data in the request. {% dynamic include \"/ai-platform/includes/___predict-request\" %} \n*/\nawait gapi.client.ml.projects.predict({name: 'name'});\n```\n\nFor provenance information see [Provenance section on NPM](https://www.npmjs.com/package/@maxim_mazurok/gapi.client.ml-v1#Provenance:~:text=none-,Provenance,-Built%20and%20signed)\n","readmeFilename":"readme.md"}