Package jline.opt.results

Class SensitivityData

java.lang.Object

jline.opt.results.SensitivityData

public class SensitivityData
extends Object

Analytic performance sensitivities for a product-form model, mirroring the nested dict returned by native-Python compute_model_sensitivities: metric kind ('RespT'|'QLen'|'Tput'|'Util') -> metric key -> parameter key -> d(metric)/d(parameter).

Keys are canonical strings so the gradient path can match a decision variable's parameter key against a sensitivity entry: a metric key is station (for 'Util') or station||jobclass; a parameter key is rate||station||jobclass. Use metricKey(java.lang.String, java.lang.String) / paramKey(java.lang.String, java.lang.String) to build them consistently.

Field Summary

Fields

Modifier and Type	Field	Description
final Map<String,Map<String,Map<String,Double>>>	data
static final String	SEP

Constructor Summary

Constructors

Constructor	Description
SensitivityData()

Method Summary

Modifier and Type	Method	Description
void	add(String kind, String metricKey, String paramKey, double value)
Map<String,Map<String,Double>>	forKind(String kind)
boolean	isEmpty()
static String	metricKey(String station, String jobclass)
static String	paramKey(String station, String jobclass)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

SEP

public static final String SEP

See Also:

• Constant Field Values

data

public final Map<String,Map<String,Map<String,Double>>> data

Constructor Details

SensitivityData

public SensitivityData()

Method Details

metricKey

public static String metricKey(String station,
 String jobclass)

paramKey

public static String paramKey(String station,
 String jobclass)

add

public void add(String kind,
 String metricKey,
 String paramKey,
 double value)

forKind

public Map<String,Map<String,Double>> forKind(String kind)

isEmpty

public boolean isEmpty()