Connect BigML and GitLab to Build Intelligent Automations
Choose a Trigger
When this happens...
New Resource
Choose an Action
Automatically do this!
Find Project Merge Requests
Find All Merge Requests
Create a Commit
Create Merge Request
Create Branch
Add Note to Merge Request or Thread
Find Group Merge Requests
Create Issue
Add Note To Issue
Ready to use BigML and GitLab automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
New Commit
Triggers when a commit is made on a specified project.
Merge Request Review Request
Triggers when you are requested to review a merge request.
New Job Event
Trigger for a specified job event in a project.
New Issue Comment
Triggers when a new comment is made on an issue in the selected project.
New Project Merge Request Event
Triggers on an open, merge, or close merge request event.
Do thisActions
Action is the task that follows automatically within your BigML integrations.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
List Datasets
Get all the dataset.
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Frequently Asked Questions
To start, connect both your BigML and GitLab accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in GitLab (or vice versa).
Absolutely. You can customize how BigML data is recorded in GitLab. This includes choosing which data fields go into which fields of GitLab, setting up custom formats, and filtering out unwanted information.
The data sync between BigML and GitLab typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between BigML and GitLab. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
Learn MoreAbout GitLab
GitLab is a comprehensive DevOps platform that provides source code management, CI/CD pipelines, and project management tools, enabling teams to collaborate efficiently on software development projects.
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