LINE Solver (C++)
Templated C++ port of the LINE queueing solver
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line::infer::ParamEstimator Class Reference

#include <line/inference/param_estimator.h>

Collaboration diagram for line::infer::ParamEstimator:

Public Types

using Samples = std::vector<std::vector<std::vector<SampledMetric>>>
using AggregateSamples = std::vector<std::vector<SampledMetric>>
using Estimator

Public Member Functions

 ParamEstimator (qn::Network< double > &model, const EstimatorOptions &options=EstimatorOptions())
void add_samples (const SampledMetric &sample)
Samples & get_data ()
const Samples & get_data () const
AggregateSamples & get_data_aggr ()
const AggregateSamples & get_data_aggr () const
SampledMetric * get_arvr (std::size_t node, std::size_t jobclass)
SampledMetric * get_util (std::size_t node, std::size_t jobclass)
SampledMetric * get_respt (std::size_t node, std::size_t jobclass)
SampledMetric * get_tput (std::size_t node, std::size_t jobclass)
SampledMetric * get_aggr_util (std::size_t node)
SampledMetric * get_aggr_qlen (std::size_t node, const ConditionEvent *event=nullptr)
std::vector< SampledMetric * > get_qlen (std::size_t node, std::size_t jobclass, const ConditionEvent *event=nullptr)
std::string auto_method ()
void interpolate ()
void register_estimator (const std::string &method, const Estimator &estimator)
bool has_estimator (const std::string &method) const
Matrix< double > estimate_at (const std::vector< std::size_t > &nodes)

Static Public Member Functions

static EstimatorOptions default_options ()
static std::string get_required_metrics (const std::string &method)

Public Attributes

EstimatorOptions options
Samples samples
AggregateSamples samples_aggr

Detailed Description

Definition at line 272 of file param_estimator.h.

Member Typedef Documentation

◆ AggregateSamples

using line::infer::ParamEstimator::AggregateSamples = std::vector<std::vector<SampledMetric>>

Definition at line 275 of file param_estimator.h.

◆ Estimator

using line::infer::ParamEstimator::Estimator
Initial value:
std::function<Matrix<double>(ParamEstimator&, const std::vector<std::size_t>&)>
line::infer::ParamEstimator::ParamEstimator
ParamEstimator(qn::Network< double > &model, const EstimatorOptions &options=EstimatorOptions())
Definition param_estimator.h:279

Definition at line 276 of file param_estimator.h.

◆ Samples

using line::infer::ParamEstimator::Samples = std::vector<std::vector<std::vector<SampledMetric>>>

Definition at line 274 of file param_estimator.h.

Constructor & Destructor Documentation

◆ ParamEstimator()

line::infer::ParamEstimator::ParamEstimator ( qn::Network< double > & model,
const EstimatorOptions & options = EstimatorOptions() )
inlineexplicit

Definition at line 279 of file param_estimator.h.

References options, ParamEstimator(), register_estimator(), samples, and samples_aggr.

Referenced by ParamEstimator().

Member Function Documentation

◆ add_samples()

void line::infer::ParamEstimator::add_samples ( const SampledMetric & sample)
inline

Definition at line 325 of file param_estimator.h.

References line::infer::SampledMetric::is_aggregate(), line::infer::SampledMetric::jobclass, line::infer::SampledMetric::node, samples, and samples_aggr.

◆ auto_method()

std::string line::infer::ParamEstimator::auto_method ( )
inline

Definition at line 374 of file param_estimator.h.

References line::lang::ArvR, line::InputError::InputError(), line::infer::EstimatorOptions::method, options, line::lang::QLen, line::lang::RespT, samples, samples_aggr, line::lang::Tput, and line::lang::Util.

◆ default_options()

EstimatorOptions line::infer::ParamEstimator::default_options ( )
inlinestatic

Definition at line 489 of file param_estimator.h.

◆ estimate_at()

Matrix< double > line::infer::ParamEstimator::estimate_at ( const std::vector< std::size_t > & nodes)
inline

Definition at line 432 of file param_estimator.h.

References line::lang::APH, line::lang::COX2, line::lang::COXIAN, line::lang::Distrib< T >::disabled, line::lang::dist_scale_rate(), line::lang::ERLANG, line::lang::EXP, line::lang::Distrib< T >::exp_mean(), line::lang::HYPEREXP, line::lang::IMMEDIATE, line::InputError::InputError(), line::lang::MAP, line::lang::Distrib< T >::mean, line::infer::EstimatorOptions::method, line::lang::MMPP2, options, line::lang::PH, line::lang::process_to_text(), line::Matrix< T >::size(), line::lang::Source, line::lang::Distrib< T >::type, and line::UnsupportedError::UnsupportedError().

◆ get_aggr_qlen()

SampledMetric * line::infer::ParamEstimator::get_aggr_qlen ( std::size_t node,
const ConditionEvent * event = nullptr )
inline

Definition at line 355 of file param_estimator.h.

References line::lang::QLen.

◆ get_aggr_util()

SampledMetric * line::infer::ParamEstimator::get_aggr_util ( std::size_t node)
inline

Definition at line 352 of file param_estimator.h.

References line::lang::Util.

◆ get_arvr()

SampledMetric * line::infer::ParamEstimator::get_arvr ( std::size_t node,
std::size_t jobclass )
inline

Definition at line 340 of file param_estimator.h.

References line::lang::ArvR.

◆ get_data() [1/2]

Samples & line::infer::ParamEstimator::get_data ( )
inline

Definition at line 335 of file param_estimator.h.

References samples.

◆ get_data() [2/2]

const Samples & line::infer::ParamEstimator::get_data ( ) const
inline

Definition at line 336 of file param_estimator.h.

References samples.

◆ get_data_aggr() [1/2]

AggregateSamples & line::infer::ParamEstimator::get_data_aggr ( )
inline

Definition at line 337 of file param_estimator.h.

References samples_aggr.

◆ get_data_aggr() [2/2]

const AggregateSamples & line::infer::ParamEstimator::get_data_aggr ( ) const
inline

Definition at line 338 of file param_estimator.h.

References samples_aggr.

◆ get_qlen()

std::vector< SampledMetric * > line::infer::ParamEstimator::get_qlen ( std::size_t node,
std::size_t jobclass,
const ConditionEvent * event = nullptr )
inline

Definition at line 359 of file param_estimator.h.

References line::lang::QLen, and samples.

◆ get_required_metrics()

std::string line::infer::ParamEstimator::get_required_metrics ( const std::string & method)
inlinestatic

Definition at line 491 of file param_estimator.h.

◆ get_respt()

SampledMetric * line::infer::ParamEstimator::get_respt ( std::size_t node,
std::size_t jobclass )
inline

Definition at line 346 of file param_estimator.h.

References line::lang::RespT.

◆ get_tput()

SampledMetric * line::infer::ParamEstimator::get_tput ( std::size_t node,
std::size_t jobclass )
inline

Definition at line 349 of file param_estimator.h.

References line::lang::Tput.

◆ get_util()

SampledMetric * line::infer::ParamEstimator::get_util ( std::size_t node,
std::size_t jobclass )
inline

Definition at line 343 of file param_estimator.h.

References line::lang::Util.

◆ has_estimator()

bool line::infer::ParamEstimator::has_estimator ( const std::string & method) const
inline

Definition at line 428 of file param_estimator.h.

◆ interpolate()

void line::infer::ParamEstimator::interpolate ( )
inline

Definition at line 411 of file param_estimator.h.

References line::infer::SampledMetric::data, and line::infer::SampledMetric::t.

◆ register_estimator()

void line::infer::ParamEstimator::register_estimator ( const std::string & method,
const Estimator & estimator )
inline

Definition at line 424 of file param_estimator.h.

Referenced by ParamEstimator().

Member Data Documentation

◆ options

EstimatorOptions line::infer::ParamEstimator::options

Definition at line 321 of file param_estimator.h.

Referenced by auto_method(), estimate_at(), and ParamEstimator().

◆ samples

Samples line::infer::ParamEstimator::samples

Definition at line 322 of file param_estimator.h.

Referenced by add_samples(), auto_method(), get_data(), get_data(), get_qlen(), and ParamEstimator().

◆ samples_aggr

AggregateSamples line::infer::ParamEstimator::samples_aggr

Definition at line 323 of file param_estimator.h.

Referenced by add_samples(), auto_method(), get_data_aggr(), get_data_aggr(), and ParamEstimator().

The documentation for this class was generated from the following file: