|  | 
| 1 | 1 | import numpy as np | 
| 2 | 2 | from snmf_class import SNMFOptimizer | 
| 3 | 3 | 
 | 
| 4 |  | -init_comps_file = np.loadtxt("input/X0.txt", dtype=float) | 
|  | 4 | +init_components_file = np.loadtxt("input/X0.txt", dtype=float) | 
| 5 | 5 | source_matrix_file = np.loadtxt("input/MM.txt", dtype=float) | 
| 6 | 6 | init_stretch_file = np.loadtxt("input/A0.txt", dtype=float) | 
| 7 | 7 | init_weights_file = np.loadtxt("input/W0.txt", dtype=float) | 
| 8 | 8 | 
 | 
| 9 | 9 | my_model = SNMFOptimizer( | 
| 10 | 10 |     source_matrix=source_matrix_file, | 
| 11 | 11 |     init_weights=init_weights_file, | 
| 12 |  | -    init_comps=init_comps_file, | 
|  | 12 | +    init_components=init_components_file, | 
| 13 | 13 |     init_stretch=init_stretch_file, | 
| 14 | 14 | ) | 
| 15 | 15 | 
 | 
| 16 | 16 | print("Done") | 
| 17 |  | -np.savetxt("my_norm_comps.txt", my_model.comps, fmt="%.6g", delimiter=" ") | 
|  | 17 | +np.savetxt("my_norm_components.txt", my_model.components, fmt="%.6g", delimiter=" ") | 
| 18 | 18 | np.savetxt("my_norm_weights.txt", my_model.weights, fmt="%.6g", delimiter=" ") | 
| 19 | 19 | np.savetxt("my_norm_stretch.txt", my_model.stretch, fmt="%.6g", delimiter=" ") | 
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