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with Google Drive and BigML?
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Popular Ways to Connect Google Drive with BigML#
Popular Google Drive and BigML Triggers#
Watches for changes to specific files, emitting an event when a change is made to one of those files. To watch for changes to shared drive files, use the Changes to Specific Files (Shared Drive) source instead.
Watches for changes to specific files in a shared drive, emitting an event when a change is made to one of those files
Emit new event when a new access proposal is requested in Google Drive
Popular Google Drive and BigML Actions#
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Create a copy of the specified file. See the documentation for more information
Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
Create a new empty folder. See the documentation for more information
Overview of Google Drive#
The Google Drive API on Pipedream allows you to automate various file management tasks, such as creating, reading, updating, and deleting files within your Google Drive. You can also share files, manage permissions, and monitor changes to files and folders. This opens up possibilities for creating workflows that seamlessly integrate with other apps and services, streamlining document handling, backup processes, and collaborative workflows.
Connect Google Drive#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_drive: {
type: "app",
app: "google_drive",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/drive/v3/about?fields=user`,
headers: {
Authorization: `Bearer ${this.google_drive.$auth.oauth_access_token}`,
},
})
},
})
Overview of BigML#
The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.
Connect BigML#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigml: {
type: "app",
app: "bigml",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bigml.io/andromeda/source`,
params: {
username: `${this.bigml.$auth.username}`,
api_key: `${this.bigml.$auth.api_key}`,
},
})
},
})
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