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Pytorch Widedeep
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ccb2f1be
编写于
12月 29, 2022
作者:
P
Pavol Mulinka
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...
...
@@ -28,10 +28,15 @@ text and images using Wide and Deep models in Pytorch
The content of this document is organized as follows:
1.
[
introduction
](
#introduction
)
2.
[
The deeptabular component
](
#the-deeptabular-component
)
3.
[
installation
](
#installation
)
4.
[
quick start (tl;dr)
](
#quick-start
)
-
[
pytorch-widedeep
](
#pytorch-widedeep
)
-
[
Introduction
](
#introduction
)
-
[
The ``deeptabular`` component
](
#the-deeptabular-component
)
-
[
Installation
](
#installation
)
-
[
Developer Install
](
#developer-install
)
-
[
Quick start
](
#quick-start
)
-
[
Testing
](
#testing
)
-
[
How to Contribute
](
#how-to-contribute
)
-
[
Acknowledgments
](
#acknowledgments
)
### Introduction
...
...
@@ -75,9 +80,10 @@ without a ``deephead`` component can be formulated as:
</p>
Where
*'W'*
are the weight matrices applied to the wide model and to the final
activations of the deep models,
*'a'*
are these final activations, and
φ
(x) are the cross product transformations of the original features
*'x'*
.
Where
σ
is the sigmoid function,
*'W'*
are the weight matrices applied to the wide model and to the final
activations of the deep models,
*'a'*
are these final activations,
φ
(x) are the cross product transformations of the original features
*'x'*
, and
, and
*'b'*
is the bias term.
In case you are wondering what are
*"cross product transformations"*
, here is
a quote taken directly from the paper:
*
"For binary features, a cross-product
transformation (e.g., “AND(gender=female, language=en)”) is 1 if and only if
...
...
@@ -296,7 +302,7 @@ pytest tests
### How to Contribute
Check
[
CONTRIBUTING
](
https://github.com/jrzaurin/pytorch-widedeep/CONTRIBUTING.MD
)
page.
Check
[
CONTRIBUTING
](
https://github.com/jrzaurin/pytorch-widedeep/
blob/master/
CONTRIBUTING.MD
)
page.
### Acknowledgments
...
...
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