| /dports/science/rdkit/rdkit-Release_2021_03_5/rdkit/Chem/MolStandardize/ |
| H A D | standardize.py | 76 return self.standardize(mol)
78 def standardize(self, mol): member in Standardizer
115 mol = self.standardize(mol)
132 mol = self.standardize(mol)
149 mol = self.standardize(mol)
167 mol = self.standardize(mol)
188 mol = self.standardize(mol)
210 mol = self.standardize(mol)
216 mol = self.standardize(mol)
306 mol = Standardizer().standardize(mol)
[all …]
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| /dports/science/py-nilearn/nilearn-0.8.1/nilearn/decoding/tests/ |
| H A D | test_same_api.py | 124 for standardize in [True, False]:
127 max_iter=max_iter, standardize=standardize).fit(X, y)
130 max_iter=max_iter, standardize=standardize).fit(X, y)
159 for standardize in [True, False]:
166 standardize=standardize).fit(
175 standardize=standardize).fit(
198 for standardize in [True, False]:
202 standardize=standardize, verbose=0).fit(X, y)
205 standardize=standardize, verbose=0).fit(X, y)
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| /dports/science/py-segregation/segregation-2.1.0/segregation/singlegroup/ |
| H A D | boundary_spatial_dissim.py | 13 def _boundary_spatial_dissim(data, group_pop_var, total_pop_var, standardize=False): argument
44 if type(standardize) is not bool:
56 if not standardize:
105 self, data, group_pop_var, total_pop_var, w=None, standardize=True, **kwargs argument
110 self.standardize = standardize
112 self.data, self.group_pop_var, self.total_pop_var, self.standardize
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| H A D | par_dissim.py | 13 data, group_pop_var, total_pop_var, standardize=True argument
46 if type(standardize) is not bool:
58 if not standardize:
122 self, data, group_pop_var, total_pop_var, w=None, standardize=True, **kwargs argument
127 self.standardize = standardize
129 self.data, self.group_pop_var, self.total_pop_var, self.standardize
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| H A D | spatial_dissim.py | 13 def _spatial_dissim(data, group_pop_var, total_pop_var, w=None, standardize=False): argument
44 if type(standardize) is not bool:
63 if not standardize:
117 self, data, group_pop_var, total_pop_var, w=None, standardize=False, **kwargs argument
123 self.standardize = standardize
125 self.data, self.group_pop_var, self.total_pop_var, self.w, self.standardize
|
| /dports/sysutils/pear-I18Nv2/I18Nv2-0.11.4/ |
| H A D | Encoding.php | 44 function standardize($encoding) function in I18Nv2_Encoding
59 $name = I18Nv3_Encoding::standardize($encoding);
86 $name = I18Nv2_Encoding::standardize($encoding);
101 $encoding = I18Nv2_Encoding::standardize($encoding);
118 $name = I18Nv2_Encoding::standardize($encoding);
135 $name = I18Nv2_Encoding::standardize($alias);
|
| /dports/science/py-nilearn/nilearn-0.8.1/nilearn/ |
| H A D | signal.py | 26 def _standardize(signals, detrend=False, standardize='zscore'): argument
53 if standardize not in [True, False, 'psc', 'zscore']:
55 .format(standardize))
62 if standardize:
68 elif (standardize == 'zscore') or (standardize is True):
77 elif standardize == 'psc':
420 def clean(signals, runs=None, detrend=True, standardize='zscore', argument
574 if detrend and (standardize == 'psc'):
577 signals = _standardize(signals + mean_signals, standardize=standardize,
580 signals = _standardize(signals, standardize=standardize,
[all …]
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/sandbox/examples/ |
| H A D | example_gam.py | 19 standardize = lambda x: (x - x.mean()) / x.std() function
30 z = standardize(f1(x1)) + standardize(f2(x2))
31 z = standardize(z) * 2 # 0.1
81 plt.plot(x1, standardize(m.smoothers[0](x1)), 'r')
82 plt.plot(x1, standardize(f1(x1)), linewidth=2)
84 plt.plot(x2, standardize(m.smoothers[1](x2)), 'r')
85 plt.plot(x2, standardize(f2(x2)), linewidth=2)
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| H A D | example_gam_0.py | 27 standardize = lambda x: (x - x.mean()) / x.std() function
45 z = standardize(f1(x1)) + standardize(f2(x2))
46 z = standardize(z) + 1 # 0.1
142 plt.plot(x1, standardize(m.smoothers[0](x1)), 'r')
143 plt.plot(x1, standardize(f1(x1)), linewidth=2)
145 plt.plot(x2, standardize(m.smoothers[1](x2)), 'r')
146 plt.plot(x2, standardize(f2(x2)), linewidth=2)
|
| /dports/math/R-cran-MatchIt/MatchIt/R/ |
| H A D | class_functions.R | 396 if (standardize) {
446 standardize = standardize, s.d.denom = s.d.denom)
451 standardize = standardize, s.d.denom = s.d.denom,
479 standardize = standardize, s.d.denom = s.d.denom)
490 … subclass = object$subclass, mm = object$match.matrix, standardize = standardize,
591 if (standardize) {
654 standardize = standardize, s.d.denom = s.d.denom)
658 subclass = subclass, standardize = standardize,
685 standardize = standardize, s.d.denom = s.d.denom)
691 subclass = subclass, standardize = standardize,
[all …]
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| H A D | match.qoi.R | 2 …, tt, ww = NULL, s.weights, subclass = NULL, mm = NULL, s.d.denom = "treated", standardize = FALSE, argument
9 if (standardize)
26 if (standardize && abs(mdiff) > 1e-8) {
56 qqmat <- qqsum(xx, tt, ww, standardize = standardize)
63 qoi.subclass <- function(xx, tt, s.weights, subclass, s.d.denom = "treated", standardize = FALSE, w… argument
70 if (standardize)
84 if (standardize && abs(mdiff) > 1e-8) {
111 qqall <- qqsum(xx[in.sub], tt[in.sub], standardize = standardize)
158 qqsum <- function(x, t, w = NULL, standardize = FALSE) { argument
178 if (standardize) {
|
| /dports/science/py-nilearn/nilearn-0.8.1/nilearn/tests/ |
| H A D | test_signal.py | 192 b = nisignal._standardize(a, standardize='zscore')
442 standardize=False)
446 standardize=True)
460 nisignal.clean(signals, detrend=False, standardize=False,
462 nisignal.clean(signals, detrend=False, standardize=False,
464 nisignal.clean(signals, detrend=False, standardize=False,
469 nisignal.clean(signals, detrend=False, standardize=False,
525 standardize=True,
530 standardize=True)
673 cleaned_signals = clean(s, standardize='psc')
[all …]
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| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/pecos/util/src/ |
| H A D | csopts_toreview.cpp | 98 int standardize = true; in set_linear_solver() local
101 standardize = false; in set_linear_solver()
117 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
130 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
141 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
152 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
165 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
179 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
|
| /dports/biology/py-orange3-single-cell/orange3-single-cell-0.8.2/orangecontrib/single_cell/preprocess/ |
| H A D | cca.py | 25 def __init__(self, n_components, random_state=None, standardize=True): argument
27 self.standardize = standardize
32 if self.standardize:
52 def __init__(self, n_components, max_iter=25, tol=1e-3, random_state=None, standardize=True): argument
57 self.standardize = standardize
76 if self.standardize:
|
| /dports/science/dakota/dakota-6.13.0-release-public.src-UI/packages/pecos/src/ |
| H A D | LinearSolverPecosSrc.cpp | 103 int standardize = true; in set_linear_solver() local
106 standardize = false; in set_linear_solver()
122 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
135 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
146 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
157 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
170 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
184 linearSolver_->set_normalise_inputs( standardize ); in set_linear_solver()
|
| /dports/astro/celestia/celestia-1.6.1/src/tools/galaxies/ |
| H A D | deepsky.pl | 212 $name = &standardize($name);
245 $name = &standardize($name);
273 $name = &standardize (&ss(7,16));
309 $name = &standardize(&ss(12,20));
367 $name = &standardize ($name);
423 $n1 = &standardize(&ss(63,74));
504 $name = &standardize($name);
549 $name2 = &standardize($name2);
555 $name1 = &standardize($name1);
826 $an1 = &standardize($ID1);
[all …]
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| /dports/astro/celestia-gtk/celestia-1.6.1/src/tools/galaxies/ |
| H A D | deepsky.pl | 212 $name = &standardize($name);
245 $name = &standardize($name);
273 $name = &standardize (&ss(7,16));
309 $name = &standardize(&ss(12,20));
367 $name = &standardize ($name);
423 $n1 = &standardize(&ss(63,74));
504 $name = &standardize($name);
549 $name2 = &standardize($name2);
555 $name1 = &standardize($name1);
826 $an1 = &standardize($ID1);
[all …]
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| /dports/science/py-nilearn/nilearn-0.8.1/examples/ |
| H A D | plot_decoding_tutorial.py | 137 decoder = Decoder(estimator='svc', mask=mask_filename, standardize=True)
179 decoder = Decoder(estimator='svc', mask=mask_filename, standardize=True)
205 decoder = Decoder(estimator='svc', mask=mask_filename, standardize=True)
225 standardize=True, cv=n_folds,
260 decoder = Decoder(estimator='svc', mask=mask_filename, standardize=True,
|
| /dports/science/py-nilearn/nilearn-0.8.1/nilearn/decoding/ |
| H A D | decoder.py | 332 scoring=None, smoothing_fwhm=None, standardize=True, argument
346 self.standardize = standardize
869 smoothing_fwhm=None, standardize=True, target_affine=None, argument
876 smoothing_fwhm=smoothing_fwhm, standardize=standardize,
977 smoothing_fwhm=None, standardize=True, target_affine=None, argument
986 smoothing_fwhm=smoothing_fwhm, standardize=standardize,
1095 scoring='r2', smoothing_fwhm=None, standardize=True, argument
1109 smoothing_fwhm=smoothing_fwhm, standardize=standardize,
1220 smoothing_fwhm=None, standardize=True, target_affine=None, argument
1231 smoothing_fwhm=smoothing_fwhm, standardize=standardize,
|
| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/multivariate/tests/ |
| H A D | test_pca.py | 59 pc = PCA(self.x, standardize=False)
61 pc = PCA(self.x, standardize=False, demean=False)
121 pc = PCA(self.x, standardize=False, normalize=False)
152 pc = PCA(x, normalize=False, standardize=False)
161 pc = PCA(x[:20], normalize=False, standardize=False)
198 PCA(pd.DataFrame(self.x), ncomp=4, standardize=False)
208 pc = PCA(x, ncomp=1, standardize=False, demean=False)
241 pc = PCA(self.x, standardize=False, ncomp=5)
258 pc = PCA(self.x, standardize=False, ncomp=5)
362 pc = PCA(self.x, standardize=False)
[all …]
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| /dports/math/py-statsmodels/statsmodels-0.13.1/statsmodels/tsa/statespace/tests/ |
| H A D | test_dynamic_factor_mq.py | 1358 for standardize in options:
1362 standardize=standardize)
1372 for standardize in options:
1376 standardize=standardize)
1386 for standardize in options:
1390 standardize=standardize)
1405 standardize=standardize)
1447 standardize=standardize)
1656 assert_allclose(mod2.standardize, mod1.standardize)
1868 standardize=False)
[all …]
|
| /dports/science/py-nilearn/nilearn-0.8.1/examples/03_connectivity/ |
| H A D | plot_data_driven_parcellations.py | 74 standardize=False, smoothing_fwhm=2.,
87 standardize=False, smoothing_fwhm=2.,
172 standardize=True, smoothing_fwhm=10.,
213 rena = Parcellations(method='rena', n_parcels=5000, standardize=False,
|
| /dports/science/py-esda/esda-2.4.1/esda/ |
| H A D | gamma.py | 169 self, y, w, operation="c", standardize=False, permutations=PERMUTATIONS argument
171 if isinstance(standardize, str):
172 standardize = standardize.lower() == "yes"
181 self.stand = standardize
|
| /dports/japanese/dams/dams-4.3.4/dams_makedic/ |
| H A D | aliastree.cpp | 6 char* standard = standardize(name); in aliasTree()
22 char* key = standardize(name); in addChild()
36 char* key = standardize(name); in searchChild()
|
| /dports/math/libsemigroups/libsemigroups-1.3.7/tests/ |
| H A D | test-todd-coxeter.cpp | 297 tc.standardize(tc_order::lex);
315 tc.standardize(tc_order::shortlex);
405 tc.standardize(tc_order::lex);
424 tc.standardize(tc_order::shortlex);
473 tc.standardize(tc_order::shortlex);
491 tc.standardize(tc_order::lex);
499 tc.standardize(tc_order::shortlex);
3241 .standardize(true)
3309 .standardize(true)
3385 .standardize(false)
[all …]
|