Connect BigML and Harvest to Build Intelligent Automations

Choose a Trigger

BigML

When this happens...

Choose an Action

Harvest

Automatically do this!

Ready to use BigML and Harvest 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 Client Created

New Client Created

Trigger when new client is created

New User

New User

Trigger when user is created

New Contact

New Contact

Trigger when new contact is created

New Project

New Project

Trigger when new project is created

New Time entry

New Time entry

Trigger when new time entry is created

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 Harvest?

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

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

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

How often does the data sync between BigML and Harvest?

The data sync between BigML and Harvest 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 Harvest?

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 Harvest?

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

About Harvest

Harvest is a time-tracking and invoicing application that simplifies the process of tracking time for various tasks and projects. It helps organizations and freelancers easily bill clients and better manage their time spent on tasks.

Learn More