📄️ Classification Models
Classification models are used to predict the category of a given input. They are used in a variety of applications, such as spam detection, sentiment analysis, and image recognition. Classification models are trained on labeled data, where each input is associated with a category label. The model learns to predict the category of new inputs based on the patterns it has learned from the training data.
📄️ Generative models
Generative models are a class of models that generate text, images, or other data. The TrueState platform supports a variety of text-based generative models, including:
📄️ Scoring / regression models
Scoring models (also known as regressors) are used to predict a continuous value based on input data. They are used in a variety of applications, such as predicting the price of a house based on its features, predicting the temperature based on weather data, or predicting the number of sales based on historical data.