Connect BigML and Heartbeat to Build Intelligent Automations
Choose a Trigger
When this happens...
New Resource
Choose an Action
Automatically do this!
Add user to group
Create a Group
Remove User from Group
Find User
Create a Channel
Create a Thread
Create a Comment
Create a Event
Deactivate User
Invite Users
Send Direct Message
Create User
List users
Get User
Get Notification
List Channel Categories
List Channels
Get Channel Thread
Get Thread
List Events
List Invitations
List Roles
List Groups
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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 Event
Triggers when new events are created.
New Thread
Triggers when the new thread is created.
On group join
Triggers when a user joins a group
New User
Triggers when a new user joins your community through an invitation link.
New Event Rsvp
Triggers when the user RSVP'd "Yes" OR confirms the event invitation.
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 Heartbeat accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Heartbeat (or vice versa).
Absolutely. You can customize how BigML data is recorded in Heartbeat. This includes choosing which data fields go into which fields of Heartbeat, setting up custom formats, and filtering out unwanted information.
The data sync between BigML and Heartbeat 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 Heartbeat. 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 Heartbeat
Heartbeat is a platform designed to facilitate community building and engagement through chat and collaboration tools. It provides features for creating and managing online communities, enabling seamless communication and interaction among members.
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