Static Methods

Summary

staticmethod

class parent

truncated documentation

_dleakyrelu

NeuralTreeNode

Derivative of the Leaky Relu function.

_drelu

NeuralTreeNode

Derivative of the Relu function.

_dsigmoid

NeuralTreeNode

Derivativ of the sigmoid function.

_dsoftmax

NeuralTreeNode

Derivative of the softmax function.

_leakyrelu

NeuralTreeNode

Leaky Relu function.

_relu

NeuralTreeNode

Relu function.

_softmax

NeuralTreeNode

Derivative of the softmax function.

build

CompletionTrieNode

Builds a trie.

create_from_tree

NeuralTreeNet

Creates a NeuralTreeNet instance from a DecisionTreeClassifier

empty_prefix

CompletionElement

return an instance filled with an empty prefix

get_activation_dloss_function

NeuralTreeNode

Returns the derivative of the default loss function based on the activation function. It returns a function …

get_activation_function

NeuralTreeNode

Returns the activation function. It returns a function y=f(x).

get_activation_gradient_function

NeuralTreeNode

Returns the activation function. It returns a function y=f”(x). About the sigmoid:

get_activation_loss_function

NeuralTreeNode

Returns a default loss function based on the activation function. It returns two functions g=loss(x,y).

get_list_of_vertices

GraphDistance

load_from_file

GraphDistance

loads a graph from a file