Standardize preprocessing call signature
See original GitHub issuehttps://github.com/keras-team/keras-cv/pull/124#discussion_r806759607
grep -R "def call(" *
keras_cv/layers/preprocessing/grayscale.py: def call(self, images, training=None):
keras_cv/layers/preprocessing/mix_up.py: def call(self, images, labels, training=True):
keras_cv/layers/preprocessing/random_cutout.py: def call(self, inputs, training=True):
keras_cv/layers/preprocessing/solarization.py: def call(self, images):
keras_cv/layers/preprocessing/cut_mix.py: def call(self, images, labels, training=True):
keras_cv/layers/preprocessing/grid_mask.py: def call(self, images, training=None):
keras_cv/layers/preprocessing/equalization.py: def call(self, images):
Do we want to standardize over images
or inputs
?
Issue Analytics
- State:
- Created 2 years ago
- Reactions:1
- Comments:7 (5 by maintainers)
Top Results From Across the Web
Preprocessing with sklearn: a complete and comprehensive ...
Standardization is a transformation that centers the data by removing the mean value of each feature and then scale it by dividing (non-constant) ......
Read more >Feature preprocessing (standardize and normalize) and ...
Suppose I have 3 features, x, y, z . I know x and y are independent variables but z = x + y...
Read more >Feature Scaling and its importance in Data Preprocessing
Feature scaling refers to the methods or techniques used to normalize the range of independent variables in our data, or in other words,...
Read more >machine-learning-articles/how-to-normalize-or-standardize-a ...
Firstly, we will take a look at why you need a normalized or standardized ... called feature scaling - and it is applied...
Read more >6.3. Preprocessing data — scikit-learn 1.2.0 documentation
In general, learning algorithms benefit from standardization of the data set. ... data unseen during the fit call: the same scaling and shifting...
Read more >Top Related Medium Post
No results found
Top Related StackOverflow Question
No results found
Troubleshoot Live Code
Lightrun enables developers to add logs, metrics and snapshots to live code - no restarts or redeploys required.
Start FreeTop Related Reddit Thread
No results found
Top Related Hackernoon Post
No results found
Top Related Tweet
No results found
Top Related Dev.to Post
No results found
Top Related Hashnode Post
No results found
Top GitHub Comments
Once: https://github.com/keras-team/keras/pull/16130
lands in nightly we can begin using it. I will begin migrating layers to use it.
We will make it available as public API soon.