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Create Model with BigML API

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Create Model with the BigML API
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Getting Started

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

  1. Configure the Create Model action
    1. Connect your BigML account
    2. Select a Dataset ID
    3. Optional- Configure Description
    4. Optional- Configure Other Arguments
  2. Select a trigger to run your workflow on HTTP requests, schedules or app events
  3. Deploy the workflow
  4. Send a test event to validate your setup
  5. Turn on the trigger


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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 Model on BigML
Description:Create a model based on a given source ID, dataset ID, or model ID. [See the docs.](https://bigml.com/api/models?id=creating-a-model)


import bigml from "../../bigml.app.mjs";
import { parseJSON } from "../../common/utils.mjs";

export default {
  key: "bigml-create-model",
  name: "Create Model",
  description: "Create a model based on a given source ID, dataset ID, or model ID. [See the docs.](https://bigml.com/api/models?id=creating-a-model)",
  version: "0.0.1",
  type: "action",
  props: {
    datasetId: {
      propDefinition: [
    description: {
      type: "string",
      label: "Description",
      description: "A description of the model",
      optional: true,
    args: {
      type: "object",
      label: "Other Arguments",
      description: "Other arguments for the model. [See the docs](https://bigml.com/api/models?id=model-arguments) for more information",
      optional: true,
  async run({ $ }) {
    const response = await this.bigml.createModel({
      data: {
        dataset: this.datasetId,
        description: this.description,
    $.export("$summary", "Succesfully created model");
    return response;


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.
BigMLbigmlappThis component uses the BigML app.
Dataset IDdatasetIdstringSelect a value from the drop down menu.

A description of the model

Other Argumentsargsobject

Other arguments for the model. See the docs for more information


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.

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