Cloud AutoML API API

by googleapis.com

Overview

Train high-quality custom machine learning models with minimum effort and machine learning expertise.

Cloud AutoML API is an analytics API from googleapis.com. Requests are authenticated with OAuth. It is served over HTTPS. Its OpenAPI description documents 25 endpoints.

At a glance

Authentication: OAuth
HTTPS: Yes
CORS: Unknown
Category: Analytics
Base URL: https://automl.googleapis.com/
Version: v1beta1
Endpoints: 25
OpenAPI: Specification ↗
Spec updated: 2023-03-09

Make a first request

Replace the placeholders; the documentation says exactly where credentials go.

cURL

curl -X GET "https://automl.googleapis.com/v1beta1/NAME" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer YOUR_TOKEN"

JavaScript

const response = await fetch("https://automl.googleapis.com/v1beta1/NAME", {
  method: "GET",
  headers: {
    "Accept": "application/json",
    "Authorization": "Bearer YOUR_TOKEN",
  },
});
const data = await response.json();
console.log(data);

Python

import requests

response = requests.request(
    "GET",
    "https://automl.googleapis.com/v1beta1/NAME",
    headers={
    "Accept": "application/json",
    "Authorization": "Bearer YOUR_TOKEN",
    },
    timeout=30,
)
print(response.json())

Endpoints

Method	Path	What it does
GET	`/v1beta1/{name}`	Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.
PATCH	`/v1beta1/{name}`	Updates a column spec.
DELETE	`/v1beta1/{name}`	Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If th
GET	`/v1beta1/{name}/locations`	Lists information about the supported locations for this service.
GET	`/v1beta1/{name}/operations`	Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.
POST	`/v1beta1/{name}:batchPredict`	Perform a batch prediction. Unlike the online Predict, batch prediction result won't be immediately available in the response. Instead, a long running operation
POST	`/v1beta1/{name}:cancel`	Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the serv
POST	`/v1beta1/{name}:deploy`	Deploys a model. If a model is already deployed, deploying it with the same parameters has no effect. Deploying with different parametrs (as e.g. changing node_
POST	`/v1beta1/{name}:export`	Exports a trained, "export-able", model to a user specified Google Cloud Storage location. A model is considered export-able if and only if it has an export for
POST	`/v1beta1/{name}:exportData`	Exports dataset's data to the provided output location. Returns an empty response in the response field when it completes.
POST	`/v1beta1/{name}:exportEvaluatedExamples`	Exports examples on which the model was evaluated (i.e. which were in the TEST set of the dataset the model was created from), together with their ground truth
POST	`/v1beta1/{name}:importData`	Imports data into a dataset. For Tables this method can only be called on an empty Dataset. For Tables: * A schema_inference_version parameter must be explicitl
POST	`/v1beta1/{name}:predict`	Perform an online prediction. The prediction result will be directly returned in the response. Available for following ML problems, and their expected request p
POST	`/v1beta1/{name}:undeploy`	Undeploys a model. If the model is not deployed this method has no effect. Only applicable for Text Classification, Image Object Detection and Tables; all other
POST	`/v1beta1/{name}:wait`	Waits until the specified long-running operation is done or reaches at most a specified timeout, returning the latest state. If the operation is already done, t
GET	`/v1beta1/{parent}/columnSpecs`	Lists column specs in a table spec.
GET	`/v1beta1/{parent}/datasets`	Lists datasets in a project.
POST	`/v1beta1/{parent}/datasets`	Creates a dataset.
GET	`/v1beta1/{parent}/modelEvaluations`	Lists model evaluations.
GET	`/v1beta1/{parent}/models`	Lists models.
POST	`/v1beta1/{parent}/models`	Creates a model. Returns a Model in the response field when it completes. When you create a model, several model evaluations are created for it: a global evalua
GET	`/v1beta1/{parent}/tableSpecs`	Lists table specs in a dataset.
GET	`/v1beta1/{resource}:getIamPolicy`	Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.
POST	`/v1beta1/{resource}:setIamPolicy`	Sets the access control policy on the specified resource. Replaces any existing policy. Can return `NOT_FOUND`, `INVALID_ARGUMENT`, and `PERMISSION_DENIED` erro
POST	`/v1beta1/{resource}:testIamPermissions`	Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a `NOT_FOUND`

Questions

Does the Cloud AutoML API API need an API key?

Yes. The Cloud AutoML API API uses OAuth authentication; the documentation explains how to get credentials.

Does the Cloud AutoML API API support HTTPS?

Yes, the Cloud AutoML API API is served over HTTPS.

How many endpoints does the Cloud AutoML API API have?

Its OpenAPI description lists 25 endpoints in version v1beta1. All of them are shown on this page.

What are alternatives to the Cloud AutoML API API?

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Listed from APIs.guru (CC0).

Overview

At a glance

Make a first request

Endpoints

Questions

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