Connect Pantry and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Pantry
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
Use the Built-in Integrations
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 Pantry integrations.
Create and/or Replace Basket
Given a basket name as provided in the url, this will either create a new basket inside your pantry, or replace an existing one.
Get Contents
Given a basket name, return the full contents of the basket.
Update Contents
Given a basket name, this will update the existing contents and return the contents of the newly updated basket.
Get Details
Given a PantryID, return the details of the pantry, including a list of baskets currently stored inside it.
Update Details
Update Details in Pantry.
Create Anomaly Score
Calculates the anomaly score of a data instance.
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Frequently Asked Questions
To start, connect both your Pantry and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Pantry triggers actions in BigML (or vice versa).
Absolutely. You can customize how Pantry 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 Pantry 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 Pantry 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 Pantry
Pantry is a cloud-based service that provides a simple and efficient way to store and manage data. It is designed to help developers and businesses easily manage their data storage needs with a focus on simplicity and ease of use.
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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