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pls opt fix

This commit is contained in:
Arnar Flatberg 2007-07-26 18:32:27 +00:00
parent b35f814ef0
commit 7fd4ac6225
1 changed files with 28 additions and 12 deletions
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36
fluents/lib/blmfuncs.py
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@ -426,7 +426,7 @@ class LPLS(Model):
No ids matching
"""
if name not in self.model.keys():
return
raise ValueError("There is no key named: %s in model" %name)
DX, DY, DZ = self._dataset['X'], self._dataset['Y'], self._dataset['Z']
dim_name_0, dim_name_1 = DX.get_dim_name()
dim_name_2, dim_name_3 = DY.get_dim_name()
@ -455,11 +455,17 @@ class LPLS(Model):
'tsqx' : [ids_1, zero_dim],
'tsqz' : [ids_4, zero_dim],
'K' : [ids_1, pc_ids],
'rmsep' : [ids_3, pc_ids]
'rmsep' : [ids_3, pc_ids],
'Rx' : [ids_1, pc_ids],
'Rz' : [ids_4, pc_ids]
}
try:
array = self.model[name]
M = Dataset(array, identifiers=match_ids[name], name=name)
ids = match_ids[name]
except:
raise ValueError("There are no identifers stored for: %s in model" %name)
M = Dataset(array, identifiers=ids, name=name)
return M
def get_out_plots(self, options):
@ -645,6 +651,9 @@ class PlsOptions(Options):
'strict', 'crot', 'cov_center']
return self._copy_from_list(opt_list)
def validation_options(self):
opt_list = ['amax', 'n_sets', 'cv_val_method']
return self._copy_from_list(opt_list)
def permutation_confidence(self):
opt_list = ['q_pert_method', 'q_iter']
@ -663,17 +672,17 @@ class LplsOptions(Options):
opt['engine'] = nipals_lpls
opt['mode'] = 'normal' # how much info to calculate
opt['amax'] = 10
opt['aopt'] = 9
opt['xz_alpha'] = .5
opt['aopt'] = 4
opt['xz_alpha'] = .6
opt['auto_aopt'] = False
opt['center'] = True
opt['center_mth'] = [2, 0, 1]
opt['scale'] = 'scores'
opt['calc_conf'] = True
opt['n_sets'] = 20
opt['n_sets'] = 75
opt['strict'] = False
opt['p_center'] = 'med'
opt['alpha'] = .3
opt['alpha'] = .4
opt['cov_center'] = 'med'
opt['crot'] = True
@ -695,11 +704,18 @@ class LplsOptions(Options):
(blmplots.LineViewXc, 'Line view', True),
(blmplots.PredictionErrorPlot, 'Residual Error', False),
(blmplots.RMSEPPlot, 'RMSEP', False),
(blmplots.LplsHypoidCorrelationPlot, 'Hypoid corr.', False)
(blmplots.LplsHypoidCorrelationPlot, 'Hypoid corr.', False),
(blmplots.LplsXCorrelationPlot, 'X corr.', True),
(blmplots.LplsZCorrelationPlot, 'Z corr.', True)
]
opt['out_data'] = ['T','P', 'tsqx']
opt['out_plots'] = [blmplots.PlsScorePlot,blmplots.LplsXLoadingPlot,blmplots.LplsZLoadingPlot, blmplots.LineViewXc]
opt['out_data'] = ['T','P', 'tsqx', 'tsqz', 'L','K']
opt['out_plots'] = [blmplots.PlsScorePlot,
blmplots.LplsXLoadingPlot,
blmplots.LplsZLoadingPlot,
blmplots.LplsXCorrelationPlot,
blmplots.LplsZCorrelationPlot,
blmplots.LineViewXc]
#opt['out_data'] = None