What do you want to automate
with Netlify and BigML?
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Popular Ways to Connect Netlify with BigML#
Popular Netlify 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 source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
Overview of Netlify#
Harness the power of the Netlify API on Pipedream to automate your web development workflows, streamline site deployments, manage DNS settings, and more. With Pipedream's serverless platform, you can orchestrate Netlify's capabilities in concert with numerous other services to enhance productivity, monitor your deployments, and react to events in real-time. Create custom CI/CD pipelines, synchronize your site's content with third-party systems, or automate responses to form submissions, all with the seamless integration of the Netlify API within Pipedream workflows.
Connect Netlify#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
netlify: {
type: "app",
app: "netlify",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.netlify.com/api/v1/user`,
headers: {
Authorization: `Bearer ${this.netlify.$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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