Download deepctr-torch-0.2.9.tar.gz (DeepCTR-Torch)

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DeepCTR-Torch Overview

Easy-to-use,Modular and Extendible package of deep-learning models

DeepCTR-Torch is an easy-to-use, Modular and Extendible package of deep-learning-based CTR models along with lots of core components layers that can be used to build your own custom model easily.It is compatible with PyTorch.You can use any complex model with model.fit() and model.predict(). With the great success of deep learning, DNN-based techniques have been widely used in CTR estimation tasks. The data in the CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Low-order Extractor learns feature interaction through product between vectors. Factorization-Machine and it’s variants are widely used to learn the low-order feature interaction. High-order Extractor learns feature combination through complex neural network functions like MLP, Cross Net, etc.

Additional Details for DeepCTR-Torch

Programming Language

Python

Registered

2022-08-09

Last Updated

2022-10-21

Maintainers

sf-editor1

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DeepCTR-Torch

Easy-to-use,Modular and Extendible package of deep-learning models

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Additional Details for DeepCTR-Torch

Programming Language

Registered

Last Updated

Categories

Maintainers

Keep Me Updated!