with BigML and Google Classroom?
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.
Retrieve information about an assignment. See the docs here
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.
Retrieve a list of assignments for a course. See the documentation
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.
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}`,
},
})
},
})
The Google Classroom API lets you tap into the educational space by managing courses, assignments, and student interactions programmatically. With this API, you can automate course creation, roster management, and content distribution, effectively bridging the gap between various educational tools and platforms. Leveraging Pipedream's serverless execution environment, you can build powerful workflows that respond to events in Classroom, sync data across platforms, and streamline the educational process for teachers and students alike.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
google_classroom: {
type: "app",
app: "google_classroom",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.google_classroom.$auth.oauth_access_token}`,
},
})
},
})