with BigML and Webflow?
Emit new event when a form is submitted. See the documentation
Emit new event when a collection item is created. See the documentation
Emit new event when a collection item is deleted. See the documentation
Emit new event when a collection item is changed. See the documentation
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 source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
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 Webflow API empowers developers to programmatically interact with their Webflow site, enabling automation, data synchronization, and complex integrations with other apps and services. With Pipedream's serverless platform, you can harness this API to craft custom workflows that react to events, manage content dynamically, or extend the capabilities of your Webflow projects by linking them with a vast array of other applications.
You can connect your Webflow account in a few different ways:
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
webflow: {
type: "app",
app: "webflow",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.webflow.com/v2/token/authorized_by`,
headers: {
Authorization: `Bearer ${this.webflow.$auth.oauth_access_token}`,
"accept-version": `1.0.0`,
},
})
},
})