"""Utils function for ensembling."""
import numpy as np
def loadPredictions(predictions, fileName, names, test=False, lvl=1):
"""Load prediction from file."""
if test:
prefix = '../lvl%d/test/test_' % lvl
else:
prefix = '../lvl%d/val/val_' % lvl
temp = np.load(prefix+fileName+'.npy')
assert(len(temp) == len(names))
for i in range(len(temp)):
predictions[names[i]] = temp[i]
def createEnsFunc(ensemble):
"""Create ensemble."""
func = ''
for model in ensemble:
func += 'preds[\'%s\'],' % (model)
ens = eval('lambda preds : np.c_[%s]' % (func))
return ens
def getLvl1ModelList():
"""Get the complete list of lvl1 models."""
# format: [filename, [model names]]
files = [
['FBL', ['FBL_L1', 'FBL_L2', 'FBL_Sc', 'FBL_LDA', 'FBL_LDA_L1']],
['FBL_delay100_skip20',
['FBL_delay_L1', 'FBL_delay_L2', 'FBL_delay_Sc', 'FBL_delay_LDA']],
['FBLC_256pts_alex2',
['FBLCA_L1', 'FBLCA_L2', 'FBLCA_Sc', 'FBLCA_LDA', 'FBLCA_LDA_L1']],
['FBLCR_256',
['FBLCR_L1', 'FBLCR_L2', 'FBLCR_Sc', 'FBLCR_LDA', 'FBLCR_LDA_L1']],
['FBLCR_All', ['FBLCAll_Sc', 'FBLCAll_LDA_Sc']],
['CovsAlex_1-15Hz_500pts', ['C500_[1_15]_LDA', 'C500_[1_15]_LR']],
['CovsAlex_7-30Hz_500pts', ['C500_[7_30]_LDA', 'C500_[7_30]_LR']],
['CovsAlex_20-35Hz_500pts', ['C500_[20_35]_LDA', 'C500_[20_35]_LR']],
['CovsAlex_70-150Hz_500pts', ['C500_[70_150]_LDA', 'C500_[70_150]_LR']],
['CovsAlex_35Hz_250pts', ['C250_[35]_LDA', 'C250_[35]_LR']],
['CovsAlex_35Hz_500pts', ['C500_[35]_LDA', 'C500_[35]_LR']],
['CovsERP_Dist', ['ERPDist_LDA', 'ERPDist']],
['CovsAlex_1-15Hz_500pts_poly', ['C500_[1_15]_poly_LR']],
['CovsAlex_7-30Hz_500pts_poly', ['C500_[7_30]_poly_LR']],
['CovsAlex_20-35Hz_500pts_poly', ['C500_[20_35]_poly_LR']],
['CovsAlex_70-150Hz_500pts_poly', ['C500_[70_150]_poly_LR']],
['CovsAlex_35Hz_250pts_poly', ['C250_[35]_poly_LR']],
['CovsAlex_35Hz_500pts_poly', ['C500_[35]_poly_LR']],
['CovsERP_Dist_poly', ['ERPDist_poly']],
['CovAlex_All', ['CAll_LR']],
['CovAlex_old_All', ['CAll_old_LR']],
['CovsRafal_35Hz_256pts', ['CovsRafal_35Hz_256']],
['CovsRafal_35Hz_500pts', ['CovsRafal_35Hz_500']],
['RNN_FB_delay4000', ['RNN_FB_delay4000']],
['cnn_script_1D_30Hz', ['CNN_1D_FB30']],
['cnn_script_1D_7-30Hz', ['CNN_1D_FB7-30']],
['cnn_script_1D_5Hz', ['CNN_1D_FB5']],
['cnn_script_2D_30Hz', ['CNN_2D_FB30']],
['cnn_script_1D_30Hz_shorterDelay', ['CNN_1D_FB30_shorterDelay']],
['cnn_script_2D_30Hz_shorterDelay', ['CNN_2D_FB30_shorterDelay']],
]
return files