python (65.2k questions)

javascript (44.3k questions)

reactjs (22.7k questions)

java (20.8k questions)

c# (17.4k questions)

html (16.3k questions)

r (13.7k questions)

android (13k questions)

Questions - regularized

Is there any place in scikit-learn Lasso/Quantile Regression source code that L1 regularization is applied?

I could not find where the Manhattan distance of weights is calculated and multiplied with alpha (L1 reg. coefficient) in the Lasso Regression and the Quantile Regression source code of scikit-learn. ...
test-img

Berat Tuna Karlı

scikit-learn

lasso-regression

regularized

quantile-regression

manhattan

Votes: 0

Answers: 1

Latest Answer

I don't believe the loss function (including the regularization penalty) is ever explicitly calculated, no. Instead, the loss function is optimized by coordinate descent, and so we only ever need to a...
test-img

Ben Reiniger

Tensorflow: How to apply a regularizer on a tensor?

I am implementing a model in Tensorflow 2, and I want to apply a penalization on a tensor (multiplication from two layers' outputs) in my model. I am used to use regularization on layers (kernel, bias...
test-img

Loris Pilotto

tensorflow

keras

tensor

regularized

Votes: 0

Answers: 1

Latest Answer

No, the regularizer classes pretty much only handle the computation of the penalty itself. E.g. the source code for the L2 regularizer has def __call__(self, x): return self.l2 * tf.reduce_sum(tf....
test-img

xdurch0

Customized regularization function with customized training in tf.keras (TF2) using GradientTape

I want to define my own customised regulizer and I am making use of GradientTape. I am making use of the following code, however no matter how large I choose the tuning parameters to be, the results a...
test-img

user11453289

tensorflow

regularized

gradienttape

Votes: 0

Answers: 0

Posts

Questions

Blogs

Jobs