Static Methods#
Summary#
staticmethod |
class parent |
truncated documentation |
---|---|---|
NeuralTreeNet |
Implements strategy “compact”. See @see meth create_from_tree. |
|
NeuralTreeNet |
Implements strategy “one”. See @see meth create_from_tree. |
|
NeuralTreeNode |
Derivative of the Leaky Relu function. |
|
NeuralTreeNode |
Derivative of the Relu function. |
|
NeuralTreeNode |
Derivativ of the sigmoid function. |
|
NeuralTreeNode |
Derivative of the softmax function. |
|
NeuralTreeNode |
Leaky Relu function. |
|
NeuralTreeNode |
Relu function. |
|
NeuralTreeNode |
Derivative of the softmax function. |
|
CompletionTrieNode |
Builds a trie. |
|
NeuralTreeNet |
Creates a |
|
CompletionElement |
return an instance filled with an empty prefix |
|
NeuralTreeNode |
Returns the derivative of the default loss function based on the activation function. It returns a function … |
|
NeuralTreeNode |
Returns the activation function. It returns a function y=f(x). |
|
NeuralTreeNode |
Returns the activation function. It returns a function y=f”(x). About the sigmoid: |
|
NeuralTreeNode |
Returns a default loss function based on the activation function. It returns two functions g=loss(x,y). |
|
|
GraphDistance |
|
GraphDistance |
loads a graph from a file |
|
BaseNeuralTreeNet |
Converts this model into ONNX. |
|
|
NeuralTreeNetClassifier |
Converts this model into ONNX. |
|
NeuralTreeNetRegressor |
Converts this model into ONNX. |
BaseNeuralTreeNet |
Shape calculator when converting this model into ONNX. See :epkg:`skearn-onnx`. |
|
|
NeuralTreeNetClassifier |
Shape calculator when converting this model into ONNX. See :epkg:`skearn-onnx`. |
|
NeuralTreeNetRegressor |
Shape calculator when converting this model into ONNX. See :epkg:`skearn-onnx`. |