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