
When this happens...
New Resource

Automatically do this!
Enable Integrations or automations with these events of BigML and underdog protocol
Triggers when a new resource is created
Calculates the anomaly score of a data instance.
Find out the closest cluster to your data instance
Predict using a model , logistic regression or deepnets
Finds a resource
Get all the sources.
Get all the dataset.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.

Webhook is like a real-time notification system between apps. Whenever something happens in one app—like a new comment or a purchase—a webhook sends a signal to another app, instantly letting it know about the event.
To start, connect both your BigML and underdog protocol accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in underdog protocol (or vice versa).
Absolutely. You can customize how BigML data is recorded in underdog protocol. This includes choosing which data fields go into which fields of underdog protocol, setting up custom formats, and filtering out unwanted information.
The data sync between BigML and underdog protocol 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 underdog protocol. 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.
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.
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