Calculate the burn values. Args: x (np.ndarray): Input array. Returns: np.ndarray: Array con

Initialize a Layer object. Args: name (str, optional): Name of the layer. Defaults to None.

Calculate the recovery array. Args: x (np.ndarray): Input array. Returns: dict[str, np.ndarr

Calculate the reinstatement premium array. Args: x (np.ndarray): Input array. Returns: dict[

Add two layers. Args: x1 (Layer): First layer. x2 (Layer): Second layer. Returns:

Retrieve the commission array from the input dictionary. Args: x (np.ndarray): Input dictionary. Returns:

Divide two layers. Args: x1 (Layer): First layer. x2 (Layer): Second layer. Returns:

Calculate the excess of loss arrays. Args: x (np.ndarray): Input array. Returns: dict[str, n

Forward pass of the layer. Args: x (np.ndarray): Input array. Returns: np.ndarray: Output ar

Forward pass of the addition layer. Args: x1 (Layer): First layer. x2 (Layer): Second layer.

Forward pass of the subtraction layer. Args: x1 (Layer): First layer. x2 (Layer): Second layer.

Forward pass of the multiplication layer. Args: x1 (Layer): First layer. x2 (Layer): Second layer.

Forward pass of the division layer. Args: x1 (Layer): First layer. x2 (Layer): Second layer.

Forward pass of the Input layer. Args: x (np.ndarray): Input array. Returns: np.ndarray: Out

Identity return. Args: x (np.ndarray): Input array. Returns: np.ndarray: Input array.

Multiply two layers. Args: x1 (Layer): First layer. x2 (Layer): Second layer. Returns:

Perform quota share calculations. Args: x (np.ndarray): Input array. Returns: dict[str, np.n

Retrieve the recovery array from the input dictionary. Args: x (np.ndarray): Input dictionary. Returns:

Retrieve the reinstatement premium array from the input dictionary. Args: x (np.ndarray): Input dictionary.

Subtract two layers. Args: x1 (Layer): First layer. x2 (Layer): Second layer. Returns:

Add two layers. Args: other (Self): Layer to be added. Returns: Self: Resulting layer.

Perform forward pass through the layer. Args: input_layer (Self): Input layer. Returns: Self

Perform forward pass through the layer. Args: x1 (Layer): Left layer. x2 (Layer): Right layer.

Perform forward pass through the layer. Args: x1 (Layer): Left layer. x2 (Layer): Right layer.

Perform forward pass through the layer. Args: x1 (Layer): Left layer. x2 (Layer): Right layer.

Perform forward pass through the layer. Args: x1 (Layer): Left layer. x2 (Layer): Right layer.

Perform forward pass through the layer. Args: input_layer (Self): Input layer. Returns: Self

Initialize an Input layer. Args: x (np.ndarray): Input array.

Initialize an ExcessOfLossLayer. Args: attachment (float): Attachment point. width (float): Width of th

Initialize a QuotaShare layer. Args: cession (float): Cession value. commission (float, optional): Comm

Initialize a Model. Args: input_layers (list[Layer]): List of input layers. output_layers (list[Layer])

Multiply two layers. Args: other (Self): Layer to be multiplied. Returns: Self: Resulting la

Subtract two layers. Args: other (Self): Layer to be subtracted. Returns: Self: Resulting la

Divide two layers. Args: other (Self): Layer to be divided. Returns: Self: Resulting layer.

Compute the outputs of the model. Args: scheduler (str, optional): Dask scheduler to use. Defaults to None.

Forward pass of the Recovery layer. Args: x (np.ndarray): Input dictionary. Returns: dict[st

Forward pass of the Commission layer. Args: x (np.ndarray): Input dictionary. Returns: dict[

Forward pass of the ReinstatementPremium layer. Args: x (np.ndarray): Input dictionary. Returns:

Forward pass of the ExcessOfLossLayer. Args: x (np.ndarray): Input array. Returns: dict[str,

Forward pass of the QuotaShare layer. Args: x (np.ndarray): Input array. Returns: dict[str,

Visualize the computation graph of the model.