Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

feat: categorize API elements #1285

Merged
merged 1 commit into from
Dec 20, 2024
Merged
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
feat: add category selection
GideonKoenig committed Dec 17, 2024

Verified

This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
commit dc4883770d6d13edbf9021875489c02ae9dd1270
Original file line number Diff line number Diff line change
@@ -8,7 +8,7 @@ from safeds.ml.nn.typing import ModelImageSize
*
* @param probability The probability that an input element gets zeroed out.
*/
@Category(DataScienceCategory.ModelingQNeuralNetwork)
@Category(DataScienceCategory.ModelingQNeuralNetwork)
class DropoutLayer(
probability: Float
) sub Layer {
Original file line number Diff line number Diff line change
@@ -11,6 +11,7 @@ from safeds.ml.nn.typing import ModelImageSize
* @param padding the padding of the pooling
*/
@Experimental
@Category(DataScienceCategory.ModelingQNeuralNetwork)
class MaxPooling2DLayer(
@PythonName("kernel_size") kernelSize: Int,
stride: Int = -1,