Integrations BigML MFP in the Cloud
BigML + MFP in the Cloud

Connect BigML and MFP in the Cloud to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

MFP in the Cloud

Automatically do this!

Enable Integrations or automations with these events of BigML and MFP in the Cloud

Enable Integrations or automations with these events of BigML and MFP in the Cloud

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.

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Frequently Asked Questions

How do I start an integration between BigML and MFP in the Cloud?

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

Can we customize how data from BigML is recorded in MFP in the Cloud?

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

How often does the data sync between BigML and MFP in the Cloud?

The data sync between BigML and MFP in the Cloud 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 MFP in the Cloud?

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 MFP in the Cloud?

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

About MFP in the Cloud

MFPInTheCloud is a productivity app that allows you to manage all your MFPs with a single and simple application, create and design flows with the ability to use OCR, document conversions, PDF signing, functions and more than 500 processing tools.

Learn More