def regression(data, bet_choices=3, fair=True, margin='basic'):
linear = Regression(data=data, bet_choices=bet_choices)
odds = find_correct_odds(fair=fair, margin=margin, generating=linear)
lin = linear.run(model="Linear", odds=odds)
log = linear.run(model="Logistic", odds=odds)
return lin, log
if __name__ == '__main__':
arguments = parser.parse_args()
comparison = RasterCompare(**vars(arguments))
comparison.prepare()
if arguments.area_plots:
area_plot = AreaPlot(**comparison.file_args())
[area_plot.plot(attr) for attr in AreaPlot.TYPES]
del area_plot
if arguments.differences:
area_difference = AreaDifferences(**comparison.file_args())
[area_difference.plot(attr) for attr in AreaDifferences.TYPES]
del area_difference
ortho_difference = OrthoDifference(ortho_image=comparison.check_path(
arguments.ortho_image),
**comparison.file_args())
ortho_difference.plot()
del ortho_difference
if arguments.histograms:
histogram = Histogram(**comparison.file_args())
[histogram.plot(attr) for attr in Histogram.TYPES]
del histogram
if arguments.regression:
regression = Regression(**comparison.file_args())
regression.run()