private static OntologicalClass Thing() {
if (ms_Thing == null) {
OntologicalClass clazz = new OntologicalClassImpl("Thing");
clazz.setNameSpace(OWL.NS);
clazz.getMetaInfo().setComment("All classes are subclasses of owl:Thing");
ms_Thing = clazz;
}
return ms_Thing;
}
public static OntologicalClass Regression() {
if (ms_Regression == null) {
OntologicalClass clazz = new OntologicalClassImpl("Regression");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(Learning());
ms_Regression = clazz;
}
return ms_Regression;
}
public static OntologicalClass Unsupervised() {
if (ms_Unsupervised == null) {
OntologicalClass clazz = new OntologicalClassImpl("Unsupervised");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(AlgorithmType());
ms_Unsupervised = clazz;
}
return ms_Unsupervised;
}
public static OntologicalClass Normalization() {
if (ms_Normalization == null) {
OntologicalClass clazz = new OntologicalClassImpl("Normalization");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(Preprocessing());
ms_Normalization = clazz;
}
return ms_Normalization;
}
public static OntologicalClass Preprocessing() {
if (ms_Preprocessing == null) {
OntologicalClass clazz = new OntologicalClassImpl("Preprocessing");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(AlgorithmType());
ms_Preprocessing = clazz;
}
return ms_Preprocessing;
}
public static OntologicalClass MultipleTargets() {
if (ms_MultipleTargets == null) {
OntologicalClass clazz = new OntologicalClassImpl("MultipleTargets");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(MSDMTox());
ms_MultipleTargets = clazz;
}
return ms_MultipleTargets;
}
public static OntologicalClass LazyLearning() {
if (ms_LazyLearning == null) {
OntologicalClass clazz = new OntologicalClassImpl("LazyLearning");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(Learning());
ms_LazyLearning = clazz;
}
return ms_LazyLearning;
}
public static OntologicalClass DataCleanup() {
if (ms_DataCleanup == null) {
OntologicalClass clazz = new OntologicalClassImpl("DataCleanup");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(AlgorithmType());
ms_DataCleanup = clazz;
}
return ms_DataCleanup;
}
public static OntologicalClass MSDMTox() {
if (ms_MSDMTox == null) {
OntologicalClass clazz = new OntologicalClassImpl("MSDMTox");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(AlgorithmType());
ms_MSDMTox = clazz;
}
return ms_MSDMTox;
}
public static OntologicalClass ApplicabilityDomain() {
if (ms_ApplicabilityDomain == null) {
OntologicalClass clazz = new OntologicalClassImpl("ApplicabilityDomain");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(AlgorithmType());
clazz.getMetaInfo().setTitle("Appplicability Domain Algorithm");
ms_ApplicabilityDomain = clazz;
}
return ms_ApplicabilityDomain;
}
public static OntologicalClass Supervised() {
if (ms_Supervised == null) {
OntologicalClass clazz = new OntologicalClassImpl("Supervised");
clazz.setNameSpace(NS);
clazz.getDisjointWith().add(Unsupervised());
ms_Supervised = clazz;
}
ms_Unsupervised.getDisjointWith().add(ms_Supervised);
return ms_Supervised;
}
public static OntologicalClass SingleTarget() {
if (ms_SingleTarget == null) {
OntologicalClass clazz = new OntologicalClassImpl("SingleTarget");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(MSDMTox());
clazz.getDisjointWith().add(MultipleTargets());
ms_SingleTarget = clazz;
}
return ms_SingleTarget;
}
public static OntologicalClass AlgorithmType() {
if (ms_AlgorithmType == null) {
OntologicalClass clazz = new OntologicalClassImpl("AlgorithmType");
clazz.setNameSpace(NS);
clazz.getMetaInfo().setComment("Generic class for all algorithm types in OpenTox");
clazz.getMetaInfo().setTitle("Algorithm Types");
clazz.getSuperClasses().add(Thing());
ms_AlgorithmType = clazz;
}
return ms_AlgorithmType;
}
public static OntologicalClass EagerLearning() {
if (ms_EagerLearning == null) {
OntologicalClass clazz = new OntologicalClassImpl("EagerLearning");
clazz.setNameSpace(NS);
clazz.getSuperClasses().add(Learning());
clazz.getDisjointWith().add(LazyLearning());
ms_EagerLearning = clazz;
}
ms_LazyLearning.getDisjointWith().add(ms_EagerLearning);
return ms_EagerLearning;
}