Appendix G — chapter3.analysis.data_loading
chapter3.analysis.data_loading
Provides functions to load the obtained results.
Functions
| Name | Description |
|---|---|
| load_best_significant | Loads a CSV file containing the number of best significant data sources/models for each combination of number of training |
| load_reports | Loads the ML and DL reports generated from the ILOSO evaluation. |
load_best_significant
chapter3.analysis.data_loading.load_best_significant(path)
Loads a CSV file containing the number of best significant data sources/models for each combination of number of training subjects and models/data sources.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
path |
str | Path to the CSV file. | required |
Returns
| Type | Description |
|---|---|
pandas.DataFrame |
DataFrame containing specified CSV. |
load_reports
chapter3.analysis.data_loading.load_reports(path=os.path.join('data', 'chapter3', 'model-reports'))
Loads the ML and DL reports generated from the ILOSO evaluation.
Parameters
| Name | Type | Description | Default |
|---|---|---|---|
path |
str | Root directory of the data. | os.path.join('data', 'chapter3', 'model-reports') |
Returns
| Type | Description |
|---|---|
pandas.DataFrame |
DataFrame containing the generated reports. |