Value Sensitivity Analysis

class smart_choice.value_sensitivity.ValueSensitivity(decisiontree, varname, branch_name, values, single=False, idx=0, n_points=11)[source]

Bases: object

Displays sensitivity results to values in the decision tree.

Parameters

  • decisiontree (smart_choice.decisiontree.DecisionTree) – The decision tree to be analyzed.

  • varname (str) – Variable to be analyzed.

  • branch_name (str) – Name of the branch.

  • values (tuple) – Tuple with the minimal and maximum values to be analyzed.

  • single (bool) – When True, returns the expected value for chance nodes, and the optimal decision for event nodes. When False return the values for all branches of the node.

  • idx (int) – Identification number of the node to be analyzed.

  • n_points – Number of points used to create the plot.

Return type

None

plot()[source]

Plots the sensitivity to values