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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.
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| version |
'v0.7.3'
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