.. _l-staticmethods: Static Methods ============== .. contents:: :local: :depth: 1 Summary +++++++ +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | staticmethod | class parent | truncated documentation | +==========================================================================================================================+====================+=================================================================================================================+ | :py:meth:`_create_from_tree_compact ` | NeuralTreeNet | Implements strategy one. See @see meth create_from_tree. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_create_from_tree_one ` | NeuralTreeNet | Implements strategy one. See @see meth create_from_tree. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_dleakyrelu ` | NeuralTreeNode | Derivative of the Leaky Relu function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_drelu ` | NeuralTreeNode | Derivative of the Relu function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_dsigmoid ` | NeuralTreeNode | Derivativ of the sigmoid function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_dsoftmax ` | NeuralTreeNode | Derivative of the softmax function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_leakyrelu ` | NeuralTreeNode | Leaky Relu function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_relu ` | NeuralTreeNode | Relu function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :py:meth:`_softmax ` | NeuralTreeNode | Derivative of the softmax function. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`build ` | CompletionTrieNode | Builds a trie. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`create_from_tree ` | NeuralTreeNet | Creates a :class:`NeuralTreeNet` instance from a :epkg:`DecisionTreeClassifier` | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`empty_prefix ` | CompletionElement | return an instance filled with an empty prefix | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`get_activation_dloss_function ` | NeuralTreeNode | Returns the derivative of the default loss function based on the activation function. It returns a function ... | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`get_activation_function ` | NeuralTreeNode | Returns the activation function. It returns a function *y=f(x)*. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`get_activation_gradient_function ` | NeuralTreeNode | Returns the activation function. It returns a function *y=f'(x)*. About the sigmoid: | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`get_activation_loss_function ` | NeuralTreeNode | Returns a default loss function based on the activation function. It returns two functions *g=loss(x,y)*. | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`get_list_of_vertices ` | GraphDistance | | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+ | :meth:`load_from_file ` | GraphDistance | loads a graph from a file | +--------------------------------------------------------------------------------------------------------------------------+--------------------+-----------------------------------------------------------------------------------------------------------------+