Connect BigML and Bitbucket to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

Bitbucket

Automatically do this!

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 snippets

New snippets

Triggers when a new snippets is created in a repository.

New Project Created

New Project Created

Trigger that returns projects created in the last 15 minutes.

New Snippets comment

New Snippets comment

Trigger when a snippets comment.

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 Bitbucket?

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

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

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

How often does the data sync between BigML and Bitbucket?

The data sync between BigML and Bitbucket 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 Bitbucket?

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 Bitbucket?

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

About Bitbucket

Bitbucket is a web-based version control repository hosting service, primarily for source code and development projects. It offers both commercial plans and free accounts, providing a platform for developers to manage their code, collaborate on projects, and track changes.

Learn More