Evaluate multiple emergent constraints simultaneously

Diagnostic script to evaluate multiple emergent constraints simultaneously.


Establish multiple emergent constraints for arbitrary input variables and an arbitrary target variable. All input datasets need to be one-dimensional and must include a coordinate 'dataset' or 'model' (thus, the data describes a single scalar value for each dataset). All input datasets must be marked with a var_type (either feature, label, prediction_input or prediction_input_error) and a tag, which describes the type of data. This diagnostic supports only a single tag for label and an arbitrary number of tag s for feature. For every tag, a 'reference_dataset' can be specified, which will be automatically considered as prediction_input. If reference_dataset contains '|' (e.g. 'OBS1|OBS2'), multiple datasets are considered as prediction_input (in this case 'OBS1' and 'OBS2').


Manuel Schlund (DLR, Germany)



Configuration options in recipe

additional_data: list of dict, optional

Additional datasets given as list of metadata.

all_data_label: str, optional (default: ‘all’)

Label used in plots when all input data is considered. Only relevant if group_by is not used.

combine_groups: bool, optional (default: False)

Add results to plots for data generated by combining the data of all individual groups.

confidence_level: float, optional (default: 0.66)

Confidence level for estimation of target variable.

group_by: str, optional

Group input data by an attribute (e.g. produces separate plots for the individual groups, etc.).

ignore_patterns: list of str, optional

Patterns matched against ancestor files. Those files are ignored.

merge_identical_pred_input: bool, optional (default: True)

Use identical prediction_input values as single value.

numbers_as_markers: bool, optional (default: False)

Use numbers as markers in scatterplots.

patterns: list of str, optional

Patterns matched against ancestor files.

plot_regression_line_mean: bool, optional (default: False)

Plot means of regression lines in scatterplots.

read_external_file: str, optional

Read input datasets from external file given as absolute path or relative path. In the latter case, 'auxiliary_data_dir' from the user configuration file is used as base directory.

savefig_kwargs: dict

Keyword arguments for matplotlib.pyplot.savefig().

seaborn_settings: dict

Options for seaborn.set() (affects all plots).