usage: happy-scikit-unsupervised-build [-h] -d DATA_FOLDER [-P PREPROCESSORS]
[-S PIXEL_SELECTORS]
[-m CLUSTERER_METHOD]
[-p CLUSTERER_PARAMS] -s
HAPPY_SPLITTER_FILE -o OUTPUT_FOLDER
[-r REPEAT_NUM]
[-V {DEBUG,INFO,WARNING,ERROR,CRITICAL}]
Evaluate clustering on hyperspectral data using specified clusterer and pixel
selector.
optional arguments:
-h, --help show this help message and exit
-d DATA_FOLDER, --data_folder DATA_FOLDER
Directory containing the hyperspectral data (default:
None)
-P PREPROCESSORS, --preprocessors PREPROCESSORS
The preprocessors to apply to the data. Either
preprocessor command-line(s) or file with one
preprocessor command-line per line. (default:
wavelength-subset -f 60 -t 189 snv derivative pca -n 5
-p 20)
-S PIXEL_SELECTORS, --pixel_selectors PIXEL_SELECTORS
The pixel selectors to use. Either pixel selector
command-line(s) or file with one pixel selector
command-line per line. (default: ps-simple -n 32 -b)
-m CLUSTERER_METHOD, --clusterer_method CLUSTERER_METHOD
Clusterer name (e.g.,
kmeans,agglomerative,spectral,dbscan,meanshift) or
full class name (default: kmeans)
-p CLUSTERER_PARAMS, --clusterer_params CLUSTERER_PARAMS
JSON string containing clusterer parameters (default:
{})
-s HAPPY_SPLITTER_FILE, --happy_splitter_file HAPPY_SPLITTER_FILE
Happy Splitter file (default: None)
-o OUTPUT_FOLDER, --output_folder OUTPUT_FOLDER
Output JSON file to store the predictions (default:
None)
-r REPEAT_NUM, --repeat_num REPEAT_NUM
Repeat number (default: 0) (default: 0)
-V {DEBUG,INFO,WARNING,ERROR,CRITICAL}, --logging_level {DEBUG,INFO,WARNING,ERROR,CRITICAL}
The logging level to use. (default: WARN)