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.
Other Members |
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version
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'v0.7.3'
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Last updated 2024-04-26 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]
View source on GitHub