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 Slack API

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

Create Batch Prediction with BigML API on New Message In Channels (Instant) from Slack API
Slack + BigML
 
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Create Model with BigML API on New Message In Channels (Instant) from Slack API
Slack + BigML
 
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Create Source (Remote URL) with BigML API on New Message In Channels (Instant) from Slack API
Slack + BigML
 
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Send Message to a Public Channel with Slack API on New Model Created from BigML API
BigML + Slack
 
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Send Message to a Public Channel with Slack API on New Prediction Made from BigML API
BigML + Slack
 
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New Message In Channels (Instant) from the Slack API

Emit new event when a new message is posted to one or more channels

 
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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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New Direct Message (Instant) from the Slack API

Emit new event when a message was posted in a direct message channel

 
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New Interaction Events from the Slack API

Emit new events on new Slack interactivity events sourced from Block Kit interactive elements, Slash commands, or Shortcuts.

 
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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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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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Send Message to a Public Channel with the Slack API

Send a message to a public channel and customize the name and avatar of the bot that posts the message. See postMessage or scheduleMessage docs here

 
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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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Send Message to a Private Channel with the Slack API

Send a message to a private channel and customize the name and avatar of the bot that posts the message. See postMessage or scheduleMessage docs here

 
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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 Slack

The Pipedream Slack app enables you to build event-driven workflows that interact with the Slack API. When you authorize the Pipedream app's access to your workspace, you can use Pipedream workflows to perform common Slack actions, or write your own code against the Slack API.

The Pipedream Slack app is not a typical app. You don't interact with it directly as a bot, and it doesn't add custom functionality to your workspace out of the box. It makes it easier to automate anything you'd typically use the Slack API for, using Pipedream workflows.

  • Automate posting updates to your team channels
  • Create a bot to answer common questions
  • Integrate with your existing tools and services
  • And much more!

Connect Slack

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slack: {
      type: "app",
      app: "slack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://slack.com/api/users.profile.get`,
      headers: {
        Authorization: `Bearer ${this.slack.$auth.oauth_access_token}`,
      },
    })
  },
})
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