Generative Modeling with Imbalanced Classes

MediumFeature EngineeringSupervised Learning

Problem

Scenario

You are training a generative model on a labeled dataset where some classes are much rarer than others. You want the model to generate useful samples for all classes, not just the majority ones.

Question

Given a dataset with imbalanced classes, how would you approach training a generative model?

Problem

Scenario

You are training a generative model on a labeled dataset where some classes are much rarer than others. You want the model to generate useful samples for all classes, not just the majority ones.

Question

Given a dataset with imbalanced classes, how would you approach training a generative model?

Practice Python

Python 3.10

Open on desktop for the full Python editor with syntax highlighting and autocomplete.

Up next

Handling Class Imbalance in ClassificationMedium

Handle Imbalanced Classification DataMedium

Handle Highly Imbalanced ClassesMedium

Next question

All questions/Machine Learning

Generative Modeling with Imbalanced Classes

MediumFeature EngineeringSupervised Learning

Problem

Scenario

You are training a generative model on a labeled dataset where some classes are much rarer than others. You want the model to generate useful samples for all classes, not just the majority ones.

Question

Given a dataset with imbalanced classes, how would you approach training a generative model?

Problem

Scenario

You are training a generative model on a labeled dataset where some classes are much rarer than others. You want the model to generate useful samples for all classes, not just the majority ones.

Question

Given a dataset with imbalanced classes, how would you approach training a generative model?

Practice Python

Python 3.10

Open on desktop for the full Python editor with syntax highlighting and autocomplete.

Up next

Handling Class Imbalance in ClassificationMedium

Handle Imbalanced Classification DataMedium

Handle Highly Imbalanced ClassesMedium

Next question