def generate_plots(self):
interface_main.span_window()
print("... generating plots")
plot_functions.plot_spectra(self)
return
def generate_output_files(self):
interface_main.span_window()
print("... generating outputs")
final = pd.concat(
[spec.get_output_row() for spec in self.spectra_array])
final.to_csv("output/" + self.io_params['output_name'] + "_out.csv",
index=False)
def archetype_classification(self):
interface_main.span_window()
print('... determining archetype classification')
[
interface_main.archetype_classify_MC(spec)
for spec in self.spectra_array
]
return
def mcmc_determination(self):
### Main iterative method for the mcmc_determination
interface_main.span_window()
print('... performing MCMC determinations')
[spec.prepare_regions() for spec in self.spectra_array]
[
interface_main.mcmc_determination(spec, mode='COARSE')
for spec in self.spectra_array
]
print("... performing kde determinations")
[
interface_main.generate_kde_params(spec, mode="COARSE")
for spec in self.spectra_array
]
interface_main.span_window()
print("... running refined mcmc")
[
interface_main.mcmc_determination(spec, mode='REFINE')
for spec in self.spectra_array
]
print("... finalizing kde determinations")
[
interface_main.generate_kde_params(spec, mode='REFINE')
for spec in self.spectra_array
]
interface_main.span_window()
print("... complete")
interface_main.span_window()
return
interface_main.print_greeting()
print("... initializing spectra batch")
spec_batch = Batch(spectra_path, param_path, io_param_path)
### load spectra
spec_batch.load_params()
spec_batch.load_spectra()
spec_batch.set_params()
interface_main.span_window()
spec_batch.radial_correct()
spec_batch.build_frames()
### normalize with GISIC
interface_main.span_window()
spec_batch.normalize()
#### Preliminaries
spec_batch.set_KP_bounds()
spec_batch.set_carbon_mode()