Integrations BigML Spark Membership
BigML + Spark Membership

Connect BigML and Spark Membership to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

Spark Membership

Automatically do this!

Enable Integrations or automations with these events of BigML and Spark Membership

Enable Integrations or automations with these events of BigML and Spark Membership

Triggers

New Resource

New Resource

Triggers when a new resource is created

Request a new Trigger for BigML

Actions

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.

Explore more automations built by businesses and experts

We'll help you get started

Our team is all set to help you!

Customer support expert avatarTechnical support expert avatarAutomation specialist expert avatarIntegration expert avatar

Frequently Asked Questions

How do I start an integration between BigML and Spark Membership?

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

Can we customize how data from BigML is recorded in Spark Membership?

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

How often does the data sync between BigML and Spark Membership?

The data sync between BigML and Spark Membership 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 Spark Membership?

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 Spark Membership?

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

Learn More
Spark Membership

About Spark Membership

Spark Membership is an online CRM and marketing automation platform for Martial Arts, Kickboxing, Gyms and MMA studios.

Learn More