| /dports/math/openturns/openturns-1.18/lib/src/Base/Stat/ |
| H A D | ExponentialModel.cxx | 32 CLASSNAMEINIT(ExponentialModel)
37 ExponentialModel::ExponentialModel(const UnsignedInteger inputDimension) in ExponentialModel() function in ExponentialModel
44 ExponentialModel::ExponentialModel(const Point & scale, in ExponentialModel() function in ExponentialModel
52 ExponentialModel::ExponentialModel(const Point & scale, in ExponentialModel() function in ExponentialModel
61 ExponentialModel::ExponentialModel(const Point & scale, in ExponentialModel() function in ExponentialModel
69 ExponentialModel * ExponentialModel::clone() const in clone()
71 return new ExponentialModel(*this); in clone()
248 String ExponentialModel::__repr__() const in __repr__()
263 oss << ExponentialModel::GetClassName(); in __str__()
274 void ExponentialModel::save(Advocate & adv) const in save()
[all …]
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| /dports/math/openturns/openturns-1.18/python/src/ |
| H A D | ExponentialModel.i | 9 %include openturns/ExponentialModel.hxx
11 namespace OT { %extend ExponentialModel { ExponentialModel(const ExponentialModel & other) { return… in ExponentialModel() function
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| H A D | ExponentialModel_doc.i.in | 1 %feature("docstring") OT::ExponentialModel
5 ExponentialModel(*inputDimension=1*)
7 ExponentialModel(*scale, amplitude*)
9 ExponentialModel(*scale, amplitude, spatialCorrelation*)
11 ExponentialModel(*scale, spatialCovariance*)
56 >>> myCovarianceModel = ot.ExponentialModel(scale, amplitude)
63 >>> myCovarianceModel = ot.ExponentialModel(scale, amplitude, spatialCorrelation)
72 >>> myCovarianceModel = ot.ExponentialModel(scale, spatialCovariance)"
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| H A D | ProductCovarianceModel_doc.i.in | 62 >>> cov1 = ot.ExponentialModel(scale1, amplitude)
63 >>> cov2 = ot.ExponentialModel(scale2, amplitude)
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| /dports/math/openturns/openturns-1.18/lib/src/Base/Stat/openturns/ |
| H A D | ExponentialModel.hxx | 39 class OT_API ExponentialModel class
49 explicit ExponentialModel(const UnsignedInteger inputDimension = 1);
53 ExponentialModel(const Point & scale,
57 ExponentialModel(const Point & scale,
62 ExponentialModel(const Point & scale,
66 ExponentialModel * clone() const override;
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| /dports/math/openturns/openturns-1.18/python/test/ |
| H A D | t_GaussianProcess_std.expout | 1 myCovModel = ExponentialModel(scale=[1], amplitude=[1], no spatial correlation)
2 myProcess1 = GaussianProcess(trend=[x0]->[0.0], covariance=ExponentialModel(scale=[1], amplitude=[…
28 myProcess2 = GaussianProcess(trend=[t]->[4.0], covariance=ExponentialModel(scale=[1], amplitude=[1…
42 myProcess3 = GaussianProcess(trend=[t]->[sin(t)], covariance=ExponentialModel(scale=[1], amplitude…
68 model= GaussianProcess(trend=[x0]->[0.0,0.0,0.0], covariance=ExponentialModel(scale=[2], amplitude=…
69 marginal= GaussianProcess(trend=[x0]->[0.0,0.0], covariance=ExponentialModel(scale=[2], amplitude=[…
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| H A D | t_ExponentialModel_std.py | 22 myDefautModel = ExponentialModel()
26 myModel = ExponentialModel(scale, amplitude)
56 myHighModel = ExponentialModel(
77 model = ExponentialModel([1.0] * 3, [2.0] * 2)
87 ExponentialModel().draw()
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| H A D | t_ExponentialModel_std.expout | 1 myDefautModel = ExponentialModel(scale=[1], amplitude=[1], no spatial correlation)
2 myModel = ExponentialModel(scale=[1], amplitude=[2], no spatial correlation)
10 myHighModel = ExponentialModel(scale=[1], amplitude=[1,2,3], spatial correlation=
37 marginal= ExponentialModel(scale=[1], amplitude=[1,3], no spatial correlation) marginal.parameter= …
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| H A D | t_GaussianProcess_std.py | 24 myCovModel = ot.ExponentialModel(scale, amplitude)
58 cov = ot.ExponentialModel([2.0] * inputDimension, [1.0, 2.0, 3.0])
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| H A D | t_UserDefinedStationaryCovarianceModel_std.py | 31 referenceModel = ExponentialModel(
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| /dports/math/openturns/openturns-1.18/python/doc/examples/probabilistic_modeling/stochastic_processes/ |
| H A D | plot_create_stationary_covmodel.py | 63 ot.ExponentialModel(scale, amplitude)
67 ot.ExponentialModel(scale, amplitude, spatialCorrelation)
71 ot.ExponentialModel(scale, spatialCovariance)
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| H A D | plot_add_trend.py | 27 covModel = ot.ExponentialModel(scale, amplitude)
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| /dports/math/openturns/openturns-1.18/python/doc/_templates/ |
| H A D | CovarianceModel.rst_t | 10 if ot.{{ objname }}().__class__.__name__ == 'ExponentialModel':
11 covarianceModel = ot.ExponentialModel([0.5], [5.0])
18 cov1 = ot.ExponentialModel(scale1, amplitude)
19 cov2 = ot.ExponentialModel(scale2, amplitude)
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| /dports/math/openturns/openturns-1.18/lib/test/ |
| H A D | t_ExponentialModel_std.cxx | 48 ExponentialModel myDefautModel; in main()
52 ExponentialModel myModel(scale, amplitude); in main()
83 ExponentialModel myHighModel(scale, amplitude, spatialCorrelation); in main()
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| H A D | t_ExponentialModel_std.expout | 1 myDefautModel = class=ExponentialModel scale=class=Point name=Unnamed dimension=1 values=[1] amplit…
2 myModel = class=ExponentialModel scale=class=Point name=Unnamed dimension=1 values=[1] amplitude=cl…
9 myHighModel = class=ExponentialModel scale=class=Point name=Unnamed dimension=1 values=[1] amplitud…
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| /dports/devel/abseil/abseil-cpp-20211102.0/absl/random/ |
| H A D | exponential_distribution_test.cc | 150 class ExponentialModel { class
152 explicit ExponentialModel(double lambda) in ExponentialModel() function in __anonee49b9650111::ExponentialModel
184 public ExponentialModel {
186 ExponentialDistributionTests() : ExponentialModel(GetParam().lambda) {} in ExponentialDistributionTests()
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| /dports/devel/py-grpcio/grpcio-1.43.0/third_party/abseil-cpp/absl/random/ |
| H A D | exponential_distribution_test.cc | 150 class ExponentialModel { class
152 explicit ExponentialModel(double lambda) in ExponentialModel() function in __anon7d237ef80111::ExponentialModel
184 public ExponentialModel {
186 ExponentialDistributionTests() : ExponentialModel(GetParam().lambda) {} in ExponentialDistributionTests()
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| /dports/www/qt5-webengine/qtwebengine-everywhere-src-5.15.2/src/3rdparty/chromium/third_party/abseil-cpp/absl/random/ |
| H A D | exponential_distribution_test.cc | 160 class ExponentialModel { class
162 explicit ExponentialModel(double lambda) in ExponentialModel() function in __anondb711c620111::ExponentialModel
194 public ExponentialModel {
196 ExponentialDistributionTests() : ExponentialModel(GetParam().lambda) {} in ExponentialDistributionTests()
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| /dports/net-im/tg_owt/tg_owt-d578c76/src/third_party/abseil-cpp/absl/random/ |
| H A D | exponential_distribution_test.cc | 160 class ExponentialModel { class
162 explicit ExponentialModel(double lambda) in ExponentialModel() function in __anon35edfea70111::ExponentialModel
194 public ExponentialModel {
196 ExponentialDistributionTests() : ExponentialModel(GetParam().lambda) {} in ExponentialDistributionTests()
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| /dports/www/firefox/firefox-99.0/third_party/libwebrtc/third_party/abseil-cpp/absl/random/ |
| H A D | exponential_distribution_test.cc | 161 class ExponentialModel { class
163 explicit ExponentialModel(double lambda) in ExponentialModel() function in __anonf3cef2270111::ExponentialModel
195 public ExponentialModel {
197 ExponentialDistributionTests() : ExponentialModel(GetParam().lambda) {} in ExponentialDistributionTests()
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| /dports/www/chromium-legacy/chromium-88.0.4324.182/third_party/abseil-cpp/absl/random/ |
| H A D | exponential_distribution_test.cc | 161 class ExponentialModel { class
163 explicit ExponentialModel(double lambda) in ExponentialModel() function in __anonfb6568670111::ExponentialModel
195 public ExponentialModel {
197 ExponentialDistributionTests() : ExponentialModel(GetParam().lambda) {} in ExponentialDistributionTests()
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| /dports/math/openturns/openturns-1.18/python/doc/pyplots/ |
| H A D | ProcessSample.py | 8 myCov = ot.ExponentialModel([3.0], [1.2])
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| H A D | TimeSeries.py | 8 myCov = ot.ExponentialModel([3.0], [1.2])
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| /dports/math/openturns/openturns-1.18/python/doc/examples/reliability_sensitivity/reliability_processes/ |
| H A D | plot_event_process.py | 62 covmodel = ot.ExponentialModel(scale, amplitude, spatialCorrelation)
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| H A D | plot_estimate_probability_monte_carlo_process.py | 81 model = ot.ExponentialModel(scale, amplitude)
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