Index

_

__add__() (pmrf.covariance_kernels.AbstractCovarianceKernel method) (pmrf.Frequency method) (pmrf.NetworkCollection method) __call__() (pmrf.covariance_kernels.AbstractCovarianceKernel method) (pmrf.covariance_kernels.AutoCrossKernel method) (pmrf.covariance_kernels.ConstantKernel method) (pmrf.covariance_kernels.Matern32Kernel method) (pmrf.covariance_kernels.Matern52Kernel method) (pmrf.covariance_kernels.PeriodicKernel method) (pmrf.covariance_kernels.ProductKernel method) (pmrf.covariance_kernels.RBFKernel method) (pmrf.covariance_kernels.SharedIndependentKernel method) (pmrf.covariance_kernels.SumKernel method) (pmrf.covariance_kernels.WhiteNoiseKernel method) (pmrf.covariance_kernels.ZeroKernel method) (pmrf.discrepancy_models.AbstractDiscrepancyModel method) (pmrf.discrepancy_models.GaussianProcess method) (pmrf.evaluators.AbstractEvaluator method) (pmrf.evaluators.Feature method) (pmrf.evaluators.GibbsMarginalLogLikelihood method) (pmrf.evaluators.MarginalLogLikelihood method) (pmrf.evaluators.TargetLoss method) (pmrf.likelihoods.AbstractLikelihood method) (pmrf.likelihoods.GaussianLikelihood method) (pmrf.losses.AbstractLoss method) (pmrf.losses.HingeLoss method) (pmrf.losses.HuberLoss method) (pmrf.losses.LogMSELoss method) (pmrf.losses.MAPELoss method) (pmrf.losses.RMSELoss method) (pmrf.noise_models.AbstractNoiseModel method) (pmrf.noise_models.AutoCrossNoise method) (pmrf.Partial method)

__div__() (pmrf.Frequency method) __floordiv__() (pmrf.Frequency method) __getitem__() (pmrf.Frequency method) (pmrf.NetworkCollection method) __len__() (pmrf.Frequency method) (pmrf.NetworkCollection method) __mod__() (pmrf.Frequency method) __mul__() (pmrf.covariance_kernels.AbstractCovarianceKernel method) (pmrf.Frequency method) __rmul__() (pmrf.Frequency method) __sub__() (pmrf.Frequency method) __truediv__() (pmrf.Frequency method)

A

A (pmrf.models.components.lines.PhysicalLine attribute) a2s() (in module pmrf.rf) a_discrete() (pmrf.models.adapters.base.AbstractDiscrete method) a_impl() (pmrf.models.composite.interconnected.Cascade method) a_in_s_impl() (pmrf.models.composite.interconnected.Terminated method) AbstractBoundedMinimizer (class in pmrf.optimize) AbstractConstraint (class in pmrf.constraints) AbstractCovarianceKernel (class in pmrf.covariance_kernels) AbstractDiscrepancyModel (class in pmrf.discrepancy_models) AbstractDiscrete (class in pmrf.models.adapters.base) AbstractDistribution (class in pmrf.distributions) AbstractEvaluator (class in pmrf.evaluators) AbstractHypercubeSampler (class in pmrf.infer) AbstractJointSampler (class in pmrf.infer) AbstractLikelihood (class in pmrf.likelihoods) AbstractLoss (class in pmrf.losses) AbstractNoiseModel (class in pmrf.noise_models)

AbstractSingleDiscreteProperty (class in pmrf.models.adapters.base) AbstractSingleProperty (class in pmrf.models.adapters.base) AbstractSplitSampler (class in pmrf.infer) AbstractUnconstrainedMinimizer (class in pmrf.optimize) add() (pmrf.NetworkCollection method) adelta (pmrf.optimize.NelderMead attribute) aggregate() (in module pmrf.math.aggregations) AModel (class in pmrf.models.adapters.static) apply() (pmrf.NetworkCollection method) args (pmrf.Partial attribute) as_param() (in module pmrf) (in module pmrf.parameters) at() (pmrf.Model method) Attenuator (class in pmrf.models.components.ideal) auto (pmrf.covariance_kernels.AutoCrossKernel attribute) (pmrf.noise_models.AutoCrossNoise attribute) AutoCrossKernel (class in pmrf.covariance_kernels) AutoCrossNoise (class in pmrf.noise_models)

B

b (pmrf.models.surrogates.rational.PolynomialRatio attribute) (pmrf.models.surrogates.rational.StateSpace attribute) BarycentricRational (class in pmrf.models.surrogates.rational) base_dir (pmrf.infer.PolyChord attribute) base_kernel (pmrf.covariance_kernels.SharedIndependentKernel attribute) base_loss (pmrf.losses.HingeLoss attribute) basis (pmrf.models.surrogates.expansion.VectorExpansion attribute) best_loglikelihood (pmrf.infer.InferResult attribute) best_model (pmrf.infer.InferResult attribute) BFGS (class in pmrf.optimize) bijector (pmrf.constraints.AbstractConstraint attribute) (pmrf.constraints.GreaterThan property) (pmrf.constraints.Interval property) (pmrf.constraints.LessThan property) (pmrf.constraints.RealLine property)

block_size (pmrf.infer.NSS attribute) boost_posterior (pmrf.infer.PolyChord attribute) Bounded() (in module pmrf) (in module pmrf.parameters) bounds (pmrf.constraints.AbstractConstraint attribute) (pmrf.constraints.GreaterThan property) (pmrf.constraints.Interval property) (pmrf.constraints.LessThan property) (pmrf.constraints.RealLine property) BoxSection (class in pmrf.models.components.sections) BoxSectionCLCC (class in pmrf.models.components.sections)

C

C (pmrf.models.components.lines.ConstantRLGCLine attribute) (pmrf.models.components.lumped.Capacitor attribute) (pmrf.models.components.lumped.CapacitorQ attribute) (pmrf.models.components.lumped.ShuntCapacitor attribute) (pmrf.models.components.sections.LSectionLC attribute) (pmrf.models.components.sections.TSectionLCL attribute) c (pmrf.models.surrogates.rational.StateSpace attribute) C1 (pmrf.models.components.sections.BoxSectionCLCC attribute) (pmrf.models.components.sections.PiSectionCLC attribute) C2 (pmrf.models.components.sections.BoxSectionCLCC attribute) (pmrf.models.components.sections.PiSectionCLC attribute) C3 (pmrf.models.components.sections.BoxSectionCLCC attribute) C_prime() (pmrf.models.components.lines.CoaxialLine method) Capacitor (class in pmrf.models.components.lumped) CapacitorQ (class in pmrf.models.components.lumped) Cascade (class in pmrf.models.composite.interconnected) cascade (pmrf.models.composite.interconnected.Cascade attribute) cascade_a() (in module pmrf.rf) cascade_s() (in module pmrf.rf) cascaded() (pmrf.Model method) cdf() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) center (pmrf.Frequency property) center_idx (pmrf.Frequency property) center_scaled (pmrf.Frequency property) CenteredUniform() (in module pmrf.distributions) Circuit (class in pmrf.models.composite.interconnected) circuit (pmrf.models.composite.interconnected.Circuit attribute) clip() (pmrf.constraints.AbstractConstraint method) cluster_dir (pmrf.infer.PolyChord attribute) cluster_posteriors (pmrf.infer.PolyChord attribute) CoaxialLine (class in pmrf.models.components.lines)

coefficients_imag (pmrf.models.surrogates.expansion.VectorExpansion attribute) coefficients_real (pmrf.models.surrogates.expansion.VectorExpansion attribute) common_frequency() (pmrf.NetworkCollection method) complex_2_db() (in module pmrf.math) complex_2_db10() (in module pmrf.math) complex_2_degree() (in module pmrf.math) complex_2_magnitude() (in module pmrf.math) complex_2_quadrature() (in module pmrf.math) complex_2_radian() (in module pmrf.math) complex_2_reim() (in module pmrf.math) complex_components() (in module pmrf.math) complexify() (in module pmrf.math) compression_factor (pmrf.infer.PolyChord attribute) compute() (pmrf.models.adapters.bridge.Host method) concentration (pmrf.distributions.Gamma attribute) connect_s_arbitrary() (in module pmrf.rf) connect_s_common() (in module pmrf.rf) connect_y_arbitrary() (in module pmrf.rf) connections (pmrf.models.composite.interconnected.Circuit attribute) ConstantKernel (class in pmrf.covariance_kernels) ConstantRLGCLine (class in pmrf.models.components.lines) Constrained() (in module pmrf) (in module pmrf.parameters) ContinuousCallable (class in pmrf.models.adapters.callable) convolution_aggregate() (in module pmrf.math.aggregations) copy() (pmrf.NetworkCollection method) coupled (pmrf.models.composite.nodal.CoupledOnePorts attribute) (pmrf.models.composite.nodal.CoupledTwoPorts attribute) CoupledOnePorts (class in pmrf.models.composite.nodal) CoupledTwoPorts (class in pmrf.models.composite.nodal) coupling (pmrf.models.components.ideal.DirectionalCoupler attribute) cross (pmrf.covariance_kernels.AutoCrossKernel attribute) (pmrf.noise_models.AutoCrossNoise attribute) cross_entropy() (pmrf.distributions.AbstractDistribution method)

D

d (pmrf.models.surrogates.rational.PoleResidue attribute) (pmrf.models.surrogates.rational.StateSpace attribute) data (pmrf.fitting.FitResult attribute) (pmrf.models.adapters.static.AModel attribute) (pmrf.models.adapters.static.Measured attribute) (pmrf.models.adapters.static.SModel attribute) (pmrf.models.adapters.static.YModel attribute) (pmrf.models.adapters.static.ZModel attribute) DatasheetLine (class in pmrf.models.components.lines) db10_2_mag() (in module pmrf.math) db_2_mag() (in module pmrf.math) db_2_magnitude() (in module pmrf.math) db_2_np() (in module pmrf.math) db_per_100feet_2_db_per_100meter() (in module pmrf.math) dbdeg_2_reim() (in module pmrf.math) degree_2_radian() (in module pmrf.math) delta (pmrf.losses.HuberLoss attribute)

df (pmrf.Frequency property) df_scaled (pmrf.Frequency property) din (pmrf.models.components.lines.CoaxialLine attribute) DirectionalCoupler (class in pmrf.models.components.ideal) discrepancy (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.MarginalLogLikelihood attribute) discrete_matrix() (pmrf.models.adapters.base.AbstractSingleDiscreteProperty method) (pmrf.models.adapters.callable.DiscreteCallable method) (pmrf.models.surrogates.expansion.VectorExpansion method) DiscreteCallable (class in pmrf.models.adapters.callable) do_clustering (pmrf.infer.PolyChord attribute) domain (pmrf.models.composite.interconnected.Cascade attribute) (pmrf.models.composite.interconnected.Circuit attribute) domain_from (pmrf.models.composite.interconnected.Terminated attribute) domain_to (pmrf.models.composite.interconnected.Terminated attribute) dout (pmrf.models.components.lines.CoaxialLine attribute) dtype (pmrf.distributions.AbstractDistribution property) dw (pmrf.Frequency property)

E

entropy() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) epr (pmrf.models.components.lines.CoaxialLine attribute) (pmrf.models.components.lines.MicrostripLine attribute) (pmrf.models.components.lines.PhysicalLine attribute) eps (pmrf.models.components.lines.CoaxialLine property) equals (pmrf.infer.PolyChord attribute) event_ndims (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.MarginalLogLikelihood attribute)

event_shape (pmrf.distributions.AbstractDistribution property) (pmrf.distributions.Gamma property) (pmrf.distributions.Normal property) (pmrf.distributions.Uniform property) event_transform (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.MarginalLogLikelihood attribute) evidence_convergence (pmrf.infer.NSS attribute) export_touchstone() (pmrf.Model method) exposed (pmrf.models.composite.nodal.GroundExposed attribute) expression (pmrf.evaluators.Feature attribute) extract_name() (in module pmrf.parameters)

F

f (pmrf.Frequency attribute) f0 (pmrf.models.components.lines.PhaseLine attribute) f_scaled (pmrf.Frequency property) fA (pmrf.models.components.lines.PhysicalLine attribute) fatol (pmrf.optimize.BFGS attribute) (pmrf.optimize.GradientDescent attribute) (pmrf.optimize.LBFGS attribute) (pmrf.optimize.NelderMead attribute) (pmrf.optimize.OptimistixMinimise attribute) Feature (class in pmrf.evaluators) feedback (pmrf.infer.PolyChord attribute) feet_2_meter() (in module pmrf.math) field() (in module pmrf) file_root (pmrf.infer.PolyChord attribute) filter() (pmrf.NetworkCollection method) fit() (in module pmrf.fitting) fit_joint() (in module pmrf.fitting) fit_minimize() (in module pmrf.fitting) fit_sample() (in module pmrf.fitting) fit_sequential() (in module pmrf.fitting) FitResult (class in pmrf.fitting) Fixed() (in module pmrf) (in module pmrf.parameters) Flipped (class in pmrf.models.composite.transformed)

flipped() (pmrf.Model method) floating (pmrf.models.components.lines.FloatingLine attribute) FloatingLine (class in pmrf.models.components.lines) fn (pmrf.models.adapters.callable.ContinuousCallable attribute) (pmrf.models.adapters.callable.DiscreteCallable attribute) fn_values (pmrf.infer.InferResult attribute) (pmrf.infer.SampleResult attribute) freeze() (in module pmrf) freq (pmrf.models.adapters.static.AModel attribute) (pmrf.models.adapters.static.SModel attribute) (pmrf.models.adapters.static.YModel attribute) (pmrf.models.adapters.static.ZModel attribute) Frequency (class in pmrf) frequency (pmrf.fitting.FitResult attribute) (pmrf.models.adapters.base.AbstractDiscrete attribute) from_couplings() (pmrf.models.composite.nodal.CoupledOnePorts class method) (pmrf.models.composite.nodal.CoupledTwoPorts class method) from_dir() (pmrf.NetworkCollection class method) from_f() (pmrf.Frequency class method) from_ports (pmrf.models.composite.transformed.Flipped attribute) (pmrf.models.composite.transformed.Renumbered attribute) from_skrf() (pmrf.Frequency static method) from_zip() (pmrf.NetworkCollection class method) func (pmrf.Partial attribute)

G

G (pmrf.models.components.lines.ConstantRLGCLine attribute) G_diel() (pmrf.models.components.lines.CoaxialLine method) Gamma (class in pmrf.distributions) gamma (pmrf.models.components.ideal.Load attribute) GaussianLikelihood (class in pmrf.likelihoods) GaussianProcess (class in pmrf.discrepancy_models) geometric_mean() (in module pmrf.math.aggregations)

GibbsMarginalLogLikelihood (class in pmrf.evaluators) Goal (class in pmrf.evaluators) GradientDescent (class in pmrf.optimize) GreaterThan (class in pmrf.constraints) Ground (class in pmrf.models.components.ideal) GroundExposed (class in pmrf.models.composite.nodal) GroundLifted (class in pmrf.models.composite.nodal) gtol (pmrf.optimize.LBFGSB attribute)

H

h (pmrf.models.components.lines.MicrostripLine attribute) high (pmrf.distributions.Uniform attribute) hinge_loss() (in module pmrf.math.losses) HingeLoss (class in pmrf.losses)

HMC (class in pmrf.infer) Host (class in pmrf.models.adapters.bridge) huber_loss() (in module pmrf.math.losses) HuberLoss (class in pmrf.losses)

I

icdf() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) indexed_connections (pmrf.models.composite.interconnected.Circuit attribute) Inductor (class in pmrf.models.components.lumped) InductorQ (class in pmrf.models.components.lumped) InferResult (class in pmrf.infer) InitVar (class in pmrf) interpolate() (pmrf.NetworkCollection method)

interpolate_network_data() (in module pmrf.models.adapters.static) interpolate_self() (pmrf.NetworkCollection method) intersect() (in module pmrf.constraints) Interval (class in pmrf.constraints) inverse() (pmrf.models.surrogates.expansion.VectorExpansion method) is_inferer() (in module pmrf.infer) is_minimizer() (in module pmrf.optimize) is_optimizer() (in module pmrf.optimize) is_outside() (pmrf.constraints.AbstractConstraint method) is_sampler() (in module pmrf.infer) Isolator (class in pmrf.models.components.ideal)

J

jitter (pmrf.discrepancy_models.GaussianProcess attribute)

K

k1 (pmrf.covariance_kernels.ProductKernel attribute) (pmrf.covariance_kernels.SumKernel attribute) (pmrf.models.components.lines.DatasheetLine attribute) k2 (pmrf.covariance_kernels.ProductKernel attribute) (pmrf.covariance_kernels.SumKernel attribute) (pmrf.models.components.lines.DatasheetLine attribute) k_matrix (pmrf.models.composite.nodal.CoupledOnePorts attribute) (pmrf.models.composite.nodal.CoupledTwoPorts attribute)

kernel (pmrf.discrepancy_models.GaussianProcess attribute) keys() (pmrf.NetworkCollection method) keywords (pmrf.Partial attribute) kind (pmrf.models.adapters.base.AbstractSingleProperty attribute) kl_divergence() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method)

L

L (pmrf.models.components.lines.ConstantRLGCLine attribute) (pmrf.models.components.lumped.Inductor attribute) (pmrf.models.components.lumped.InductorQ attribute) (pmrf.models.components.lumped.ShuntInductor attribute) (pmrf.models.components.sections.BoxSectionCLCC attribute) (pmrf.models.components.sections.LSectionLC attribute) (pmrf.models.components.sections.PiSectionCLC attribute) L1 (pmrf.models.components.sections.TSectionLCL attribute) L2 (pmrf.models.components.sections.TSectionLCL attribute) L_prime() (pmrf.models.components.lines.CoaxialLine method) L_skin() (pmrf.models.components.lines.CoaxialLine method) LBFGS (class in pmrf.optimize) LBFGSB (class in pmrf.optimize) learning_rate (pmrf.optimize.GradientDescent attribute) length (pmrf.models.components.lines.RLGCLine attribute) lengthscale (pmrf.covariance_kernels.Matern32Kernel attribute) (pmrf.covariance_kernels.Matern52Kernel attribute) (pmrf.covariance_kernels.PeriodicKernel attribute) (pmrf.covariance_kernels.RBFKernel attribute) LessThan (class in pmrf.constraints) lifted (pmrf.models.composite.nodal.GroundLifted attribute) likelihood (pmrf.evaluators.MarginalLogLikelihood attribute) linesearch (pmrf.optimize.LBFGSB attribute) Load (class in pmrf.models.components.ideal) load() (in module pmrf) (in module pmrf.serialization) loc (pmrf.distributions.Normal attribute)

log_cdf() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) log_mean() (in module pmrf.math.aggregations) log_mean_squared_error() (in module pmrf.math.losses) log_prob() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) log_survival_function() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Normal method) logevidence (pmrf.infer.InferResult attribute) (pmrf.infer.SampleResult attribute) logevidence_err (pmrf.infer.InferResult attribute) logevidence_error (pmrf.infer.SampleResult attribute) LogMSELoss (class in pmrf.losses) logzero (pmrf.infer.PolyChord attribute) loss (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.TargetLoss attribute) loss_coeffs_normalized (pmrf.models.components.lines.DatasheetLine attribute) low (pmrf.distributions.Uniform attribute) lower (pmrf.constraints.GreaterThan attribute) (pmrf.constraints.Interval attribute) LSection (class in pmrf.models.components.sections) LSectionLC (class in pmrf.models.components.sections) LTopology (class in pmrf.models.composite.topological)

M

M1 (pmrf.models.composite.topological.LTopology attribute) (pmrf.models.composite.topological.PiTopology attribute) (pmrf.models.composite.topological.TTopology attribute) M2 (pmrf.models.composite.topological.LTopology attribute) (pmrf.models.composite.topological.PiTopology attribute) (pmrf.models.composite.topological.TTopology attribute) M3 (pmrf.models.composite.topological.PiTopology attribute) (pmrf.models.composite.topological.TTopology attribute) mag_2_db() (in module pmrf.math) mag_2_db10() (in module pmrf.math) magdeg_2_reim() (in module pmrf.math) magnitude_2_db() (in module pmrf.math) map() (pmrf.Model method) MAPELoss (class in pmrf.losses) MarginalLogLikelihood (class in pmrf.evaluators) mask (pmrf.losses.HingeLoss attribute) Match (class in pmrf.models.components.ideal) Matern32Kernel (class in pmrf.covariance_kernels) Matern52Kernel (class in pmrf.covariance_kernels) maximise (pmrf.infer.PolyChord attribute) mean() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) mean_absolute_error() (in module pmrf.math.losses) mean_absolute_percentage_error() (in module pmrf.math.losses) mean_squared_error() (in module pmrf.math.losses) Measured (class in pmrf.models.adapters.static) median() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) merged_cascade (pmrf.models.composite.interconnected.Cascade property) metadata (pmrf.Model attribute) meter_2_feet() (in module pmrf.math) method (pmrf.models.composite.interconnected.Cascade attribute) (pmrf.models.composite.interconnected.Circuit attribute) (pmrf.models.composite.interconnected.Terminated attribute) (pmrf.optimize.ScipyMinimize attribute) metrics (pmrf.infer.InferResult attribute) (pmrf.optimize.OptimizeResult attribute) MicrostripLine (class in pmrf.models.components.lines) midpoint() (pmrf.constraints.AbstractConstraint method) minimize() (in module pmrf.optimize) mode() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) Model (class in pmrf) model (pmrf.fitting.FitResult property) (pmrf.models.composite.transformed.Renumbered attribute) (pmrf.models.composite.wrapped.Probabilistic property) (pmrf.models.composite.wrapped.Tied property) (pmrf.optimize.OptimizeResult attribute)

models (pmrf.models.composite.transformed.Stacked attribute) module pmrf.constraints pmrf.covariance_kernels pmrf.discrepancy_models pmrf.distributions pmrf.evaluators pmrf.fitting pmrf.infer pmrf.likelihoods pmrf.losses pmrf.math pmrf.math.aggregations pmrf.math.losses pmrf.models pmrf.models.adapters pmrf.models.adapters.base pmrf.models.adapters.bridge pmrf.models.adapters.callable pmrf.models.adapters.static pmrf.models.components pmrf.models.components.ideal pmrf.models.components.lines pmrf.models.components.lumped pmrf.models.components.sections pmrf.models.composite pmrf.models.composite.interconnected pmrf.models.composite.nodal pmrf.models.composite.topological pmrf.models.composite.transformed pmrf.models.composite.wrapped pmrf.models.surrogates pmrf.models.surrogates.expansion pmrf.models.surrogates.rational pmrf.noise_models pmrf.optimize pmrf.parameters pmrf.rf pmrf.serialization pmrf.viz mu (pmrf.models.components.lines.CoaxialLine property) multioutput (pmrf.losses.HingeLoss attribute) (pmrf.losses.HuberLoss attribute) (pmrf.losses.LogMSELoss attribute) (pmrf.losses.MAPELoss attribute) (pmrf.losses.RMSELoss attribute) multiplier (pmrf.Frequency property) mur (pmrf.models.components.lines.CoaxialLine attribute)

N

name (pmrf.distributions.AbstractDistribution property) (pmrf.Model attribute) named_params() (pmrf.Model method) Negative (class in pmrf.constraints) NelderMead (class in pmrf.optimize) NetworkCollection (class in pmrf) nfail (pmrf.infer.PolyChord attribute) nlive (pmrf.infer.PolyChord attribute) nlives (pmrf.infer.PolyChord attribute) noise (pmrf.likelihoods.GaussianLikelihood attribute) norm() (pmrf.optimize.BFGS method) (pmrf.optimize.GradientDescent method) (pmrf.optimize.LBFGS method) (pmrf.optimize.NelderMead method) Normal (class in pmrf.distributions) np_2_db() (in module pmrf.math) npoints (pmrf.Frequency property)

nports (pmrf.Model property) (pmrf.models.components.ideal.Load attribute) (pmrf.models.components.ideal.Match attribute) (pmrf.models.components.ideal.Open attribute) (pmrf.models.components.ideal.Short attribute) (pmrf.models.components.ideal.Splitter attribute) nprior (pmrf.infer.PolyChord attribute) NSS (class in pmrf.infer) num_delete (pmrf.infer.NSS attribute) num_inner_steps (pmrf.infer.NSS attribute) num_integration_steps (pmrf.infer.HMC attribute) num_outputs (pmrf.covariance_kernels.AutoCrossKernel attribute) num_repeats (pmrf.infer.PolyChord attribute) num_warmup (pmrf.infer.HMC attribute) (pmrf.infer.NUTS attribute) number_of_ports (pmrf.Model property) (pmrf.models.adapters.bridge.Host property) NUTS (class in pmrf.infer)

O

objective (pmrf.optimize.OptimizeResult attribute) observed (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.MarginalLogLikelihood attribute) offset (pmrf.models.surrogates.expansion.VectorExpansion attribute) Open (class in pmrf.models.components.ideal)

operator (pmrf.losses.HingeLoss attribute) OptimistixMinimise (class in pmrf.optimize) OptimizeResult (class in pmrf.optimize) options (pmrf.optimize.ScipyMinimize attribute) output_shape (pmrf.covariance_kernels.SharedIndependentKernel attribute)

P

Param (in module pmrf) param() (in module pmrf) (in module pmrf.parameters) paramnames (pmrf.infer.PolyChord attribute) Partial (class in pmrf) pathed_params() (pmrf.Model method) period (pmrf.covariance_kernels.PeriodicKernel attribute) PeriodicKernel (class in pmrf.covariance_kernels) PhaseLine (class in pmrf.models.components.lines) PhysicalLine (class in pmrf.models.components.lines) PiSection (class in pmrf.models.components.sections) PiSectionCLC (class in pmrf.models.components.sections) PiTopology (class in pmrf.models.composite.topological) plot() (pmrf.fitting.FitResult method) plot_fit_result() (in module pmrf.viz) pmrf.constraints module pmrf.covariance_kernels module pmrf.discrepancy_models module pmrf.distributions module pmrf.evaluators module pmrf.fitting module pmrf.infer module pmrf.likelihoods module pmrf.losses module pmrf.math module pmrf.math.aggregations module pmrf.math.losses module pmrf.models module pmrf.models.adapters module pmrf.models.adapters.base module pmrf.models.adapters.bridge module pmrf.models.adapters.callable module pmrf.models.adapters.static module pmrf.models.components module pmrf.models.components.ideal module pmrf.models.components.lines module pmrf.models.components.lumped module pmrf.models.components.sections module pmrf.models.composite module pmrf.models.composite.interconnected module

pmrf.models.composite.nodal module pmrf.models.composite.topological module pmrf.models.composite.transformed module pmrf.models.composite.wrapped module pmrf.models.surrogates module pmrf.models.surrogates.expansion module pmrf.models.surrogates.rational module pmrf.noise_models module pmrf.optimize module pmrf.parameters module pmrf.rf module pmrf.serialization module pmrf.viz module polar_2_rect() (in module pmrf.math) PoleResidue (class in pmrf.models.surrogates.rational) poles (pmrf.models.surrogates.rational.PoleResidue attribute) PolyChord (class in pmrf.infer) PolynomialRatio (class in pmrf.models.surrogates.rational) pop() (pmrf.NetworkCollection method) Port (class in pmrf.models.components.ideal) port_axes (pmrf.noise_models.AutoCrossNoise attribute) port_idxs (pmrf.models.composite.interconnected.Circuit attribute) port_tuples (pmrf.Model property) Positive (class in pmrf.constraints) posteriors (pmrf.infer.PolyChord attribute) precision_criterion (pmrf.infer.PolyChord attribute) predictive_distribution() (pmrf.evaluators.MarginalLogLikelihood method) predictor (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.MarginalLogLikelihood attribute) (pmrf.evaluators.TargetLoss attribute) primary_matrix() (pmrf.Model method) (pmrf.models.adapters.base.AbstractSingleDiscreteProperty method) (pmrf.models.adapters.base.AbstractSingleProperty method) (pmrf.models.adapters.bridge.Host method) (pmrf.models.adapters.callable.ContinuousCallable method) (pmrf.models.composite.interconnected.Cascade method) (pmrf.models.composite.interconnected.Circuit method) (pmrf.models.composite.interconnected.Terminated method) (pmrf.models.surrogates.rational.BarycentricRational method) (pmrf.models.surrogates.rational.PoleResidue method) (pmrf.models.surrogates.rational.PolynomialRatio method) (pmrf.models.surrogates.rational.StateSpace method) primary_property (pmrf.Model property) (pmrf.models.adapters.base.AbstractSingleProperty property) (pmrf.models.adapters.bridge.Host property) (pmrf.models.composite.interconnected.Cascade property) (pmrf.models.composite.interconnected.Circuit property) (pmrf.models.composite.interconnected.Terminated property) prob() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Uniform method) Probabilistic (class in pmrf.models.composite.wrapped) probabilistic (pmrf.models.composite.wrapped.Probabilistic attribute) ProductKernel (class in pmrf.covariance_kernels)

Q

Q (pmrf.models.components.lumped.CapacitorQ attribute) (pmrf.models.components.lumped.InductorQ attribute)

R

R (pmrf.models.components.lines.ConstantRLGCLine attribute) (pmrf.models.components.lumped.Resistor attribute) (pmrf.models.components.lumped.ShuntResistor attribute) R_skin() (pmrf.models.components.lines.CoaxialLine method) radian_2_degree() (in module pmrf.math) Random() (in module pmrf) (in module pmrf.parameters) range (pmrf.distributions.Uniform property) rate (pmrf.distributions.Gamma attribute) RBFKernel (class in pmrf.covariance_kernels) rdelta (pmrf.optimize.NelderMead attribute) read_resume (pmrf.infer.PolyChord attribute) RealLine (class in pmrf.constraints) rect_2_polar() (in module pmrf.math) RelativeNormal() (in module pmrf.distributions) RelativeTruncatedNormal() (in module pmrf.distributions) renormalize() (pmrf.NetworkCollection method) renormalize_s() (in module pmrf.rf) renumber() (pmrf.models.composite.transformed.Renumbered method) Renumbered (class in pmrf.models.composite.transformed) renumbered() (pmrf.Model method) replace() (in module pmrf) requires_hypercube (pmrf.infer.PolyChord property) residues (pmrf.models.surrogates.rational.PoleResidue attribute) Resistor (class in pmrf.models.components.lumped) rho (pmrf.models.components.lines.CoaxialLine attribute) (pmrf.models.components.lines.MicrostripLine attribute)

rlgc() (pmrf.models.components.lines.CoaxialLine method) (pmrf.models.components.lines.ConstantRLGCLine method) (pmrf.models.components.lines.DatasheetLine method) (pmrf.models.components.lines.MicrostripLine method) (pmrf.models.components.lines.PhysicalLine method) (pmrf.models.components.lines.RLGCLine method) RLGCLine (class in pmrf.models.components.lines) RMSELoss (class in pmrf.losses) root_mean_squared_error() (in module pmrf.math.losses) run() (pmrf.infer.AbstractHypercubeSampler method) (pmrf.infer.AbstractJointSampler method) (pmrf.infer.AbstractSplitSampler method) (pmrf.infer.HMC method) (pmrf.infer.NSS method) (pmrf.infer.NUTS method) (pmrf.infer.PolyChord method) (pmrf.optimize.AbstractBoundedMinimizer method) (pmrf.optimize.AbstractUnconstrainedMinimizer method) (pmrf.optimize.BFGS method) (pmrf.optimize.GradientDescent method) (pmrf.optimize.LBFGS method) (pmrf.optimize.LBFGSB method) (pmrf.optimize.NelderMead method) (pmrf.optimize.OptimistixMinimise method) (pmrf.optimize.ScipyMinimize method)

S

s21 (pmrf.models.components.ideal.Attenuator attribute) s2a() (in module pmrf.rf) s2s() (in module pmrf.rf) s2y() (in module pmrf.rf) s2z() (in module pmrf.rf) s_discrete() (pmrf.models.adapters.base.AbstractDiscrete method) s_impl() (pmrf.models.composite.interconnected.Cascade method) (pmrf.models.composite.interconnected.Circuit method) s_in_s_impl() (pmrf.models.composite.interconnected.Terminated method) sample() (in module pmrf.infer) (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) sample_and_log_prob() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) sample_observation() (pmrf.evaluators.MarginalLogLikelihood method) sampled_loglikelihood (pmrf.infer.InferResult attribute) sampled_model (pmrf.infer.InferResult attribute) SampleResult (class in pmrf.infer) samples (pmrf.infer.SampleResult attribute) save() (in module pmrf) (in module pmrf.serialization) scale (pmrf.distributions.Normal attribute) ScipyMinimize (class in pmrf.optimize) seed (pmrf.infer.PolyChord attribute) shape (pmrf.constraints.RealLine attribute) SharedIndependentKernel (class in pmrf.covariance_kernels) Short (class in pmrf.models.components.ideal) show_progress (pmrf.optimize.ScipyMinimize attribute) Shunt (class in pmrf.models.composite.nodal) shunt (pmrf.models.composite.nodal.Shunt attribute) ShuntCapacitor (class in pmrf.models.components.lumped)

ShuntInductor (class in pmrf.models.components.lumped) ShuntResistor (class in pmrf.models.components.lumped) SModel (class in pmrf.models.adapters.static) solution (pmrf.fitting.FitResult attribute) solver (pmrf.optimize.OptimistixMinimise attribute) SourceConverter (class in pmrf.models.components.ideal) span (pmrf.Frequency property) span_scaled (pmrf.Frequency property) Splitter (class in pmrf.models.components.ideal) sqrt_phase_unwrap() (in module pmrf.math) Stacked (class in pmrf.models.composite.transformed) start (pmrf.Frequency property) start_scaled (pmrf.Frequency property) StateSpace (class in pmrf.models.surrogates.rational) stddev() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) step (pmrf.Frequency property) step_atol (pmrf.optimize.BFGS attribute) (pmrf.optimize.GradientDescent attribute) (pmrf.optimize.LBFGS attribute) step_rtol (pmrf.optimize.BFGS attribute) (pmrf.optimize.GradientDescent attribute) (pmrf.optimize.LBFGS attribute) step_scaled (pmrf.Frequency property) stepsize (pmrf.optimize.LBFGSB attribute) stop (pmrf.Frequency property) stop_scaled (pmrf.Frequency property) success (pmrf.optimize.OptimizeResult attribute) SumKernel (class in pmrf.covariance_kernels) summary() (pmrf.NetworkCollection method) support_points (pmrf.models.surrogates.rational.BarycentricRational attribute) survival_function() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Normal method) synchronous (pmrf.infer.PolyChord attribute)

T

tand (pmrf.models.components.lines.CoaxialLine attribute) (pmrf.models.components.lines.MicrostripLine attribute) (pmrf.models.components.lines.PhysicalLine attribute) target (pmrf.evaluators.TargetLoss attribute) target_acceptance_rate (pmrf.infer.HMC attribute) (pmrf.infer.NUTS attribute) TargetLoss (class in pmrf.evaluators) Tee (class in pmrf.models.components.ideal) temperature (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) terminate_a_in_s() (in module pmrf.rf) terminate_s_in_s() (in module pmrf.rf) Terminated (class in pmrf.models.composite.interconnected) terminated() (pmrf.Model method) terminated_from (pmrf.models.composite.interconnected.Terminated attribute) terminated_into (pmrf.models.composite.interconnected.Terminated attribute) theta (pmrf.models.adapters.callable.ContinuousCallable attribute) (pmrf.models.adapters.callable.DiscreteCallable attribute) (pmrf.models.components.lines.PhaseLine attribute)

Tied (class in pmrf.models.composite.wrapped) tied() (pmrf.Model method) to_dataframe() (pmrf.NetworkCollection method) to_dict() (pmrf.NetworkCollection method) to_ports (pmrf.models.composite.transformed.Renumbered attribute) to_skrf() (pmrf.Frequency method) (pmrf.Model method) tol (pmrf.optimize.ScipyMinimize attribute) Transformer (class in pmrf.models.components.ideal) TransmissionLine (class in pmrf.models.components.lines) truncate() (in module pmrf.distributions) TSection (class in pmrf.models.components.sections) TSectionLCL (class in pmrf.models.components.sections) TTopology (class in pmrf.models.composite.topological) type (pmrf.InitVar attribute)

U

Uniform (class in pmrf.distributions) unit (pmrf.Frequency attribute) unwrap() (in module pmrf) unwrap_self() (in module pmrf) upper (pmrf.constraints.Interval attribute) (pmrf.constraints.LessThan attribute)

use_inverse (pmrf.optimize.BFGS attribute) (pmrf.optimize.LBFGS attribute) use_orthogonal_discrepancy (pmrf.evaluators.GibbsMarginalLogLikelihood attribute) (pmrf.evaluators.MarginalLogLikelihood attribute)

V

values (pmrf.models.surrogates.rational.BarycentricRational attribute) Variable() (in module pmrf) (in module pmrf.parameters) variance (pmrf.covariance_kernels.ConstantKernel attribute) (pmrf.covariance_kernels.WhiteNoiseKernel attribute)

variance() (pmrf.distributions.AbstractDistribution method) (pmrf.distributions.Gamma method) (pmrf.distributions.Normal method) (pmrf.distributions.Uniform method) VectorExpansion (class in pmrf.models.surrogates.expansion) vf (pmrf.models.components.lines.DatasheetLine attribute)

W

w (pmrf.Frequency property) (pmrf.models.components.lines.MicrostripLine attribute) weight (pmrf.losses.HingeLoss attribute) weighted_sum() (in module pmrf.math.aggregations) weights (pmrf.infer.InferResult attribute) (pmrf.infer.SampleResult attribute) (pmrf.models.surrogates.rational.BarycentricRational attribute)

WhiteNoiseKernel (class in pmrf.covariance_kernels) write() (pmrf.NetworkCollection method) write_dead (pmrf.infer.PolyChord attribute) write_live (pmrf.infer.PolyChord attribute) write_paramnames (pmrf.infer.PolyChord attribute) write_prior (pmrf.infer.PolyChord attribute) write_resume (pmrf.infer.PolyChord attribute) write_stats (pmrf.infer.PolyChord attribute)

X

xatol (pmrf.optimize.NelderMead attribute)

xrtol (pmrf.optimize.NelderMead attribute)

Y

Y (pmrf.models.components.sections.LSection attribute) Y1 (pmrf.models.components.sections.BoxSection attribute) (pmrf.models.components.sections.PiSection attribute) Y2 (pmrf.models.components.sections.BoxSection attribute) (pmrf.models.components.sections.PiSection attribute) y2s() (in module pmrf.rf)

Y3 (pmrf.models.components.sections.BoxSection attribute) (pmrf.models.components.sections.PiSection attribute) Y4 (pmrf.models.components.sections.BoxSection attribute) y_discrete() (pmrf.models.adapters.base.AbstractDiscrete method) y_impl() (pmrf.models.composite.interconnected.Circuit method) YModel (class in pmrf.models.adapters.static)

Z

Z (pmrf.models.components.sections.LSection attribute) z0 (pmrf.Model attribute) Z1 (pmrf.models.components.sections.TSection attribute) Z2 (pmrf.models.components.sections.TSection attribute) z2s() (in module pmrf.rf) Z3 (pmrf.models.components.sections.TSection attribute) z_discrete() (pmrf.models.adapters.base.AbstractDiscrete method) Z_skin() (pmrf.models.components.lines.CoaxialLine method)

zc (pmrf.models.components.lines.PhaseLine attribute) zc_and_gammaL() (pmrf.models.components.lines.PhaseLine method) (pmrf.models.components.lines.RLGCLine method) (pmrf.models.components.lines.TransmissionLine method) ZeroKernel (class in pmrf.covariance_kernels) ZModel (class in pmrf.models.adapters.static) zn (pmrf.models.components.lines.DatasheetLine attribute) (pmrf.models.components.lines.PhysicalLine attribute)