Connect BigML and Shiptheory to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

Shiptheory

Automatically do this!

Ready to use BigML and Shiptheory automations

Actions and Triggers

When this happensTriggers

A trigger is an event that starts a workflow.

New Resource

New Resource

Triggers when a new resource is created

New Shipment

New Shipment

Triggers when a new shipment is created.

Request a new Trigger for BigML

Do thisActions

Action is the task that follows automatically within your BigML integrations.

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.

List Datasets

List Datasets

Get all the dataset.

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Frequently Asked Questions

How do I start an integration between BigML and Shiptheory?

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

Can we customize how data from BigML is recorded in Shiptheory?

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

How often does the data sync between BigML and Shiptheory?

The data sync between BigML and Shiptheory 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 BigML to Shiptheory?

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 BigML and Shiptheory?

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

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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Shiptheory

About Shiptheory

Automate your shipping processes for greater efficiency and reliability by integrating with Shiptheory. Access various carrier APIs to streamline your shipping operations and ensure smooth delivery management.

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