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Create Source (Remote URL) with BigML API

Pipedream makes it easy to connect APIs for BigML and 2,400+ other apps remarkably fast.

Trigger workflow on

HTTP requests, schedules and app events

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Create Source (Remote URL) with the BigML API

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Getting Started#

Create a workflow to Create Source (Remote URL) with the BigML API. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

Configure the Create Source (Remote URL) action
1. Connect your BigML account
2. Configure Remote URL
Select a trigger to run your workflow on HTTP requests, schedules or app events
Deploy the workflow
Send a test event to validate your setup
Turn on the trigger

Integrations#

Create Source (Remote URL) with BigML API on New Requests from HTTP / Webhook API

HTTP / Webhook + BigML

Create Source (Remote URL) with BigML API on New Submission from Typeform API

Typeform + BigML

Create Source (Remote URL) with BigML API on New Submission (Instant) from Jotform API

Jotform + BigML

Create Source (Remote URL) with BigML API on New Custom Webhook Events from Stripe API

Stripe + BigML

Create Source (Remote URL) with BigML API on New Scheduled Tasks from Pipedream API

Pipedream + BigML

Details#

This is a pre-built, source-available component from Pipedream's GitHub repo. The component is developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Create Source (Remote URL) on BigML

Description: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.](https://bigml.com/api/sources?id=creating-a-source-using-a-url)

Version:0.0.1

Key:bigml-create-source-remote-url

Code#

import bigml from "../../bigml.app.mjs";

export default {
  key: "bigml-create-source-remote-url",
  name: "Create Source (Remote URL)",
  description: "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.](https://bigml.com/api/sources?id=creating-a-source-using-a-url)",
  version: "0.0.1",
  type: "action",
  props: {
    bigml,
    remote: {
      type: "string",
      label: "Remote URL",
      description: "The remote URL of the source file",
    },
  },
  async run({ $ }) {
    const response = await this.bigml.createSource({
      $,
      data: {
        remote: this.remote,
      },
    });
    $.export("$summary", "Succesfully created source");
    return response;
  },
};

Configuration#

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.

Label	Prop	Type	Description
BigML	`bigml`	`app`	This component uses the BigML app.
Remote URL	`remote`	`string`	The remote URL of the source file

Authentication#

BigML uses API keys for authentication. When you connect your BigML account, Pipedream securely stores the keys so you can easily authenticate to BigML APIs in both code and no-code steps.

Sign in and copy your Username visible from the BigML Dashboard.

To retrieve your API key,

Navigate to your BigML account and sign in
Click on the Account menu on the top right
Go to “API key”

About 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.

More Ways to Use BigML#

Triggers#

New Model Created from the BigML API

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

New Prediction Made from the BigML API

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

Actions#

Create Batch Prediction with the BigML API

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

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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