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 GitHub API

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

Create Issue with GitHub API on New Model Created from BigML API
BigML + GitHub
 
Try it
Create Issue with GitHub API on New Prediction Made from BigML API
BigML + GitHub
 
Try it
Search Issues and Pull Requests with GitHub API on New Model Created from BigML API
BigML + GitHub
 
Try it
Search Issues and Pull Requests with GitHub API on New Prediction Made from BigML API
BigML + GitHub
 
Try it
Create Batch Prediction with BigML API on New Branch (Instant) from GitHub API
GitHub + BigML
 
Try it
New Model Created from the BigML API

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

 
Try it
New Prediction Made from the BigML API

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

 
Try it
New Branch (Instant) from the GitHub API

Emit new events when a new branch is created

 
Try it
New Card in Column (Classic Projects) from the GitHub API

Emit new event when a (classic) project card is created or moved to a specific column. For Projects V2 use New Issue with Status trigger. More information here

 
Try it
New Collaborator (Instant) from the GitHub API

Emit new events when collaborators are added to a repo

 
Try it
Create Batch Prediction with the BigML API

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

 
Try it
Create Issue with the GitHub API

Create a new issue in a Gihub repo. See docs here

 
Try it
Create Model with the BigML API

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

 
Try it
Search Issues and Pull Requests with the GitHub API

Find issues and pull requests by state and keyword. See docs here

 
Try it
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.

 
Try it

Connect BigML

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
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}`,
      },
    })
  },
})

Connect GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    github: {
      type: "app",
      app: "github",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.github.com/user`,
      headers: {
        Authorization: `Bearer ${this.github.$auth.oauth_access_token}`,
        "X-GitHub-Api-Version": `2022-11-28`,
      },
    })
  },
})