Connect CheckFlow and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
Task Is Completed
File Uploaded
Checklist Is Created
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 CheckFlow and BigML automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
Task Is Completed
Runs when task is completed
File Uploaded
Triggers when a new file is uploaded within a task.
Checklist Is Created
Runs when checklist is created
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your CheckFlow integrations.
Create Checklist
Create checklist from template
Share Checklist
Create shareable checklist URL
Find Checklists
Get checklists; create if none
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 CheckFlow and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in CheckFlow triggers actions in BigML (or vice versa).
Absolutely. You can customize how CheckFlow 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 CheckFlow 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 CheckFlow 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 CheckFlow
Checkflow is a powerful tool designed to streamline and automate your workflow processes. It helps teams manage tasks, track progress, and ensure that all steps in a process are completed efficiently. With Checkflow, you can create custom workflows, assign tasks, and monitor the status of each project in real-time, making it an essential tool for enhancing productivity and collaboration.
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.
Learn More
