Integrate the BigML API with the Pipedream Utils API

Setup the BigML API trigger to run a workflow which integrates with the Pipedream Utils API. Pipedream's integration platform allows you to integrate BigML and Pipedream Utils remarkably fast. Free for developers.

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Popular Ways to Connect BigML with Pipedream Utils#

Formatting - [Data] Convert JSON to String with Pipedream Utils API on New Model Created from BigML API

BigML + Pipedream Utils

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Formatting - [Data] Convert JSON to String with Pipedream Utils API on New Prediction Made from BigML API

BigML + Pipedream Utils

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Formatting - [Data] Parse JSON with Pipedream Utils API on New Model Created from BigML API

BigML + Pipedream Utils

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Formatting - [Data] Parse JSON with Pipedream Utils API on New Prediction Made from BigML API

BigML + Pipedream Utils

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Formatting - [Date/Time] Add/Subtract Time with Pipedream Utils API on New Model Created from BigML API

BigML + Pipedream Utils

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Popular BigML and Pipedream Utils Triggers#

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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Popular BigML and Pipedream Utils Actions#

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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Formatting - [Data] Convert JSON to String with the Pipedream Utils API

Convert an object to a JSON format string

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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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Formatting - [Data] Parse JSON with the Pipedream Utils API

Parse a JSON string

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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#

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 Pipedream Utils#

The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.

Connect Pipedream Utils#

export default defineComponent({
  props: {
    pipedream_utils: {
      type: "app",
      app: "pipedream_utils",
    }
  },
  async run({steps, $}) {

  },
})

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