Module: tfrs

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TensorFlow Recommenders is a library for building recommender system models.

It helps with the full workflow of building a recommender system: data preparation, model formulation, training, evaluation, and deployment.

It's built on Keras and aims to have a gentle learning curve while still giving you the flexibility to build complex models.

Modules

examples module: Functions used in examples.

experimental module: Experimental APIs.

layers module: Layers.

metrics module: Metrics.

models module: Models.

tasks module: Task libraries.

types module: Type definitions.

Classes

class Model: Base model for TFRS models.