| Modifier and Type | Method and Description |
|---|---|
static AMapping |
MLPipeline.execute(ACache source,
ACache target,
Configuration configuration,
String mlAlgorithmName,
MLImplementationType mlImplementationType,
List<LearningParameter> learningParameters,
String trainingDataFile,
EvaluatorType pfmType,
int maxIt,
ActiveLearningOracle oracle) |
| Modifier and Type | Method and Description |
|---|---|
List<LearningParameter> |
TaskAlgorithm.getMlParameter() |
Map<LearningParameter,List<Object>> |
TaskAlgorithm.getMlParameterValues() |
| Modifier and Type | Method and Description |
|---|---|
void |
TaskAlgorithm.setMlParameter(List<LearningParameter> mlParameter) |
void |
TaskAlgorithm.setMlParameterValues(Map<LearningParameter,List<Object>> mlParameterValues) |
| Constructor and Description |
|---|
TaskAlgorithm(MLImplementationType mlType,
AMLAlgorithm mlAlgorithm,
List<LearningParameter> mlParameter) |
TaskAlgorithm(MLImplementationType mlType,
AMLAlgorithm mlAlgorithm,
List<LearningParameter> mlParameter,
Map<LearningParameter,List<Object>> mlParameterValues) |
TaskAlgorithm(MLImplementationType mlType,
AMLAlgorithm mlAlgorithm,
List<LearningParameter> mlParameter,
Map<LearningParameter,List<Object>> mlParameterValues) |
| Modifier and Type | Method and Description |
|---|---|
Set<List<LearningParameter>> |
Evaluator.createParameterGrid(Map<LearningParameter,List<Object>> parameters) |
| Modifier and Type | Method and Description |
|---|---|
Set<List<LearningParameter>> |
Evaluator.createParameterGrid(Map<LearningParameter,List<Object>> parameters) |
List<EvaluationRun> |
Evaluator.crossValidate(AMLAlgorithm algorithm,
List<LearningParameter> parameter,
Set<TaskData> datasets,
int foldNumber,
Set<EvaluatorType> qlMeasures,
Set<IQuantitativeMeasure> qnMeasures) |
| Modifier and Type | Field and Description |
|---|---|
protected List<LearningParameter> |
Configuration.mlAlgorithmParameters |
| Modifier and Type | Method and Description |
|---|---|
List<LearningParameter> |
Configuration.getMlAlgorithmParameters() |
| Modifier and Type | Method and Description |
|---|---|
void |
Configuration.setMlAlgorithmParameters(List<LearningParameter> mlParameters) |
| Constructor and Description |
|---|
Configuration(KBInfo sourceInfo,
KBInfo targetInfo,
String metricExpression,
String acceptanceRelation,
String verificationRelation,
double acceptanceThreshold,
String acceptanceFile,
double verificationThreshold,
String verificationFile,
Map<String,String> prefixes,
String outputFormat,
String executionRewriter,
String executionPlanner,
String executionEngine,
int granularity,
String mlAlgorithmName,
List<LearningParameter> mlParameters,
MLImplementationType mlImplementationType,
String mlTrainingDataFile,
EvaluatorType mlPseudoFMeasure,
long maxOpt,
double k) |
| Modifier and Type | Field and Description |
|---|---|
protected List<LearningParameter> |
ACoreMLAlgorithm.learningParameters |
| Modifier and Type | Method and Description |
|---|---|
protected List<LearningParameter> |
ACoreMLAlgorithm.getParameters() |
List<LearningParameter> |
AMLAlgorithm.getParameters() |
| Modifier and Type | Method and Description |
|---|---|
protected void |
WombatComplete.init(List<LearningParameter> lp,
ACache sourceCache,
ACache targetCache) |
protected void |
ACIDS.init(List<LearningParameter> lp,
ACache source,
ACache target) |
protected void |
ACoreMLAlgorithm.init(List<LearningParameter> learningParameters,
ACache sourceCache,
ACache targetCache)
Initialize the core ML algorithm.
|
protected void |
Eagle.init(List<LearningParameter> lp,
ACache source,
ACache target) |
void |
AMLAlgorithm.init(List<LearningParameter> lp,
ACache source,
ACache target)
Initialize the ML Algorithm.
|
protected void |
WombatSimple.init(List<LearningParameter> lp,
ACache sourceCache,
ACache targetCache) |
| Modifier and Type | Method and Description |
|---|---|
void |
Dragon.init(List<LearningParameter> lp,
ACache sourceCache,
ACache targetCache) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
MeshEuclid.init(List<LearningParameter> learningParameters,
ACache sourceCache,
ACache targetCache) |
protected void |
LinearEuclid.init(List<LearningParameter> learningParameters,
ACache sourceCache,
ACache targetCache) |
protected void |
BooleanEuclid.init(List<LearningParameter> learningParameters,
ACache sourceCache,
ACache targetCache) |
| Modifier and Type | Method and Description |
|---|---|
protected void |
AWombat.init(List<LearningParameter> lp,
ACache sourceCache,
ACache targetCache) |
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