BigML
Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.
Integrate the BigML API with the Node API
Setup the BigML API trigger to run a workflow which integrates with the Node API. Pipedream's integration platform allows you to integrate BigML and Node remarkably fast. Free for developers.
Popular BigML and Node Actions#
Create Batch Prediction with the BigML API
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Run Node Code with the Node API
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Create Model with the BigML API
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Create Source (Remote URL) with the BigML API
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.
Connect BigML#
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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}`,
},
})
},
})
Connect Node#
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// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
async run({ steps, $ }) {
// Return data to use it in future steps
return steps.trigger.event
},
})Community Posts#
Automate checking a ticket system's availability with Node.js and Pipedream
How I used Node.js and Pipedream to automatically scrape a ticket booking site and notify me if availability had changed.