Connect Preset Cloud and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Preset Cloud
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Ready to use Preset Cloud and BigML automations
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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
Do thisActions
Action is the task that follows automatically within your Preset Cloud integrations.
List All Teams
Retrieve all teams in the connected Preset Cloud account.
Get Team Members
Retrieve the members of a Preset Cloud team.
Delete a Team Member
Remove a specified user from a Preset Cloud team. Returns success data or a clear error if removal is blocked (e.g., last admin, already removed, or assigned via a group).
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
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Frequently Asked Questions
To start, connect both your Preset Cloud and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Preset Cloud triggers actions in BigML (or vice versa).
Absolutely. You can customize how Preset Cloud 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.
The data sync between Preset Cloud and BigML 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 Preset Cloud 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.
About Preset Cloud
Preset Cloud is a powerful platform for data exploration and visualization, enabling users to create interactive dashboards and gain insights from their data effortlessly.
Learn MoreAbout 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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