python_api_usage#
Attributes#
Classes#
Generate uncertainty for each node using Monte Carlo. Result figure as a boxplot. |
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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#