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.

Run Node Code with Node API on New Model Created from BigML API
BigML + Node
 
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Run Node Code with Node API on New Prediction Made from BigML API
BigML + Node
 
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New Model Created from the BigML API

Emit new event for every created model. See docs here.

 
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New Prediction Made from the BigML API

Emit new event for every made prediction. See docs here.

 
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Create Batch Prediction with the BigML API

Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.

 
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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.

 
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Create Model with the BigML API

Create a model based on a given source ID, dataset ID, or model ID. See the docs.

 
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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.

 
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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

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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}`,
      },
    })
  },
})

Overview of Node

Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores.

This includes installing NPM packages, within your code without having to manage a package.json file or running npm install.

Below is an example of installing the axios package in a Pipedream Node.js code step. Pipedream imports the axios package, performs the API request, and shares the response with subsequent workflow steps:

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
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.