python_api_usage#

Attributes#

Classes#

NewNodesUncertaintyResult

Generate uncertainty for each node using Monte Carlo. Result figure as a boxplot.

UncertaintyResult

Module Contents#

class python_api_usage.NewNodesUncertaintyResult#

Bases: apparun.results.NodesUncertaintyResult

Generate uncertainty for each node using Monte Carlo. Result figure as a boxplot.

get_figure(table: pandas.DataFrame)#
class python_api_usage.UncertaintyResult#

Bases: apparun.results.ImpactModelResult

get_figure(table: pandas.DataFrame)#
get_table() pandas.DataFrame#
n: int#

Generate uncertainty for each node using Monte Carlo. Result figure as a boxplot.

python_api_usage.OUTPUT_FILES_PATH = 'outputs/'#
python_api_usage.impact_model#
python_api_usage.new_nodes_uncertainty_result#
python_api_usage.new_nodes_uncertainty_table#
python_api_usage.nodes_scores#
python_api_usage.sankey_result#
python_api_usage.sankey_table#
python_api_usage.scores#
python_api_usage.sobol_result#
python_api_usage.sobol_table#
python_api_usage.tree_map_result#
python_api_usage.tree_map_table#
python_api_usage.uncertainty_nodes_result#
python_api_usage.uncertainty_nodes_table#