Connect Un-static and BigML to Build Intelligent Automations

Choose a Trigger

Un-static

When this happens...

Choose an Action

BigML

Automatically do this!

Ready to use Un-static and BigML automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Form

New Form

Triggers when a new form is created.

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for Un-static

Do thisActions

Action is the task that follows automatically within your Un-static integrations.

List Forms

List Forms

List all forms in your account.

Create Anomaly Score

Create Anomaly Score

Calculates the anomaly score of a data instance.

Create Centroid

Create Centroid

Find out the closest cluster to your data instance

Create Prediction

Create Prediction

Predict using a model , logistic regression or deepnets

Find Resource

Find Resource

Finds a resource

List Sources

List Sources

Get all the sources.

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Frequently Asked Questions

How do I start an integration between Un-static and BigML?

To start, connect both your Un-static and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Un-static triggers actions in BigML (or vice versa).

Can we customize how data from Un-static is recorded in BigML?

Absolutely. You can customize how Un-static data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.

How often does the data sync between Un-static and BigML?

The data sync between Un-static and BigML typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.

Can I filter or transform data before sending it from Un-static to BigML?

Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.

Is it possible to add conditions to the integration between Un-static and BigML?

Yes, you can set conditional logic to control the flow of data between Un-static and BigML. 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.

Un-static

About Un-static

Un-static is a dynamic platform designed to revolutionize the way you manage and interact with your digital content. With a focus on flexibility and innovation, Un-static offers tools to enhance your content creation and management processes, making it easier to adapt to changing needs and trends.

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BigML

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.

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