AI Studio
Contents
AI Studio#
This section provides reference and how-to information for Squirro’s AI Studio, a no-code machine learning platform that enables you to build and deploy machine learning models without writing code.

Candidate Set#
The Candidate Set helps you to find good text extracts for your ground truth in a large data universe.
For more information, see AI Studio Step 1: Candidate Sets
Ground Truth#
The ground truth is the set of documents that you want to use to train your model. You can use the Ground Truth to train a model to predict the category of a document.
To learn more, see AI Studio Step 2: Ground Truth.
Models#
The Models section of AI Studio enables you to train machine learning models by selecting templates without the need for writing code.
For more information, see AI Studio Step 3: Models.
Validation#
The Validation section of AI Studio enables you to validate the performance of your machine learning models.
See AI Studio Step 4: Validation for more information.
Publish#
The Publish section of AI Studio enables you to publish your machine learning models to the Squirro platform.
To learn more, see AI Studio Step 5: Publish.
Bulk Labeling#
Bulk labeling allows you to accelerate the process of creating an initial Ground Truth based on previously-defined proximity rules.
To learn more, see Bulk Labeling.
ML Enrichments for Pipeline Workflows#
The ML Enrichments for Pipeline Workflows enable you to deploy your AI Studio-built machine learning models to enrich your data.
For more information, see ML Enrichments for Pipeline Workflows.
How To Guides#
AI Studio guides include the following: