| 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) |
| Modifier and Type | Method and Description |
|---|---|
MLImplementationType |
TaskAlgorithm.getMlType() |
| Modifier and Type | Method and Description |
|---|---|
void |
TaskAlgorithm.setMlType(MLImplementationType mlType) |
| Constructor and Description |
|---|
TaskAlgorithm(MLImplementationType mlType,
AMLAlgorithm mlAlgorithm,
List<LearningParameter> mlParameter) |
TaskAlgorithm(MLImplementationType mlType,
AMLAlgorithm mlAlgorithm,
List<LearningParameter> mlParameter,
Map<LearningParameter,List<Object>> mlParameterValues) |
| Modifier and Type | Field and Description |
|---|---|
protected MLImplementationType |
Configuration.mlImplementationType |
| Modifier and Type | Method and Description |
|---|---|
MLImplementationType |
Configuration.getMlImplementationType() |
| Modifier and Type | Method and Description |
|---|---|
void |
Configuration.setMlImplementationType(MLImplementationType mlImplementationType) |
| 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) |
| Modifier and Type | Field and Description |
|---|---|
static MLImplementationType |
ActiveMLAlgorithm.ML_IMPLEMENTATION_TYPE |
static MLImplementationType |
UnsupervisedMLAlgorithm.ML_IMPLEMENTATION_TYPE |
static MLImplementationType |
SupervisedMLAlgorithm.ML_IMPLEMENTATION_TYPE |
| Modifier and Type | Method and Description |
|---|---|
static MLImplementationType |
MLAlgorithmFactory.getImplementationType(String name) |
static MLImplementationType |
MLImplementationType.valueOf(String name)
Returns the enum constant of this type with the specified name.
|
static MLImplementationType[] |
MLImplementationType.values()
Returns an array containing the constants of this enum type, in
the order they are declared.
|
| Modifier and Type | Method and Description |
|---|---|
static AMLAlgorithm |
MLAlgorithmFactory.createMLAlgorithm(Class<? extends ACoreMLAlgorithm> clazz,
MLImplementationType mlType) |
protected abstract boolean |
ACoreMLAlgorithm.supports(MLImplementationType mlType)
Check whether the mlType is supported.
|
protected boolean |
ACIDS.supports(MLImplementationType mlType) |
protected boolean |
WombatComplete.supports(MLImplementationType mlType) |
protected boolean |
WombatSimple.supports(MLImplementationType mlType) |
protected boolean |
Eagle.supports(MLImplementationType mlType) |
| Modifier and Type | Method and Description |
|---|---|
protected boolean |
Dragon.supports(MLImplementationType mlType) |
| Modifier and Type | Method and Description |
|---|---|
protected boolean |
LinearEuclid.supports(MLImplementationType mlType) |
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