Java Code Examples for weka.core.Attribute#value()
The following examples show how to use
weka.core.Attribute#value() .
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Example 1
Source File: Test.java From tsml with GNU General Public License v3.0 | 6 votes |
/** * Returns the test represented by a string in Prolog notation. * * @return a string representing the test in Prolog notation */ public String toPrologString() { Attribute att = m_Dataset.attribute(m_AttIndex); StringBuffer str = new StringBuffer(); String attName = m_Dataset.attribute(m_AttIndex).name(); if (att.isNumeric()) { str = str.append(attName + " "); if (m_Not) str = str.append(">= " + Utils.doubleToString(m_Split, 3)); else str = str.append("< " + Utils.doubleToString(m_Split, 3)); } else { String value = att.value((int)m_Split); if (value == "false") { str = str.append("not(" + attName + ")"); } else { str = str.append(attName); } } return str.toString(); }
Example 2
Source File: ADTree.java From tsml with GNU General Public License v3.0 | 5 votes |
/** * Returns the legend of the tree, describing how results are to be interpreted. * * @return a string containing the legend of the classifier */ public String legend() { Attribute classAttribute = null; if (m_trainInstances == null) return ""; try {classAttribute = m_trainInstances.classAttribute();} catch (Exception x){}; return ("-ve = " + classAttribute.value(0) + ", +ve = " + classAttribute.value(1)); }
Example 3
Source File: UnivariateNominalMultiwaySplit.java From tsml with GNU General Public License v3.0 | 5 votes |
@Override public String branchForInstance(Instance inst) { Attribute att = inst.dataset().attribute(m_splitAttNames.get(0)); if (att == null || inst.isMissing(att)) { return null; } return att.value((int) inst.value(att)); }
Example 4
Source File: TwoWayNominalSplit.java From tsml with GNU General Public License v3.0 | 5 votes |
/** * Gets the string describing the comparision the split depends on for a particular * branch. i.e. the right hand side of the description of the split. * * @param branchNum the branch of the split * @param dataset the dataset that the split is based on * @return a string describing the comparison */ public String comparisonString(int branchNum, Instances dataset) { Attribute att = dataset.attribute(attIndex); if (att.numValues() != 2) return ((branchNum == 0 ? "= " : "!= ") + att.value(trueSplitValue)); else return ("= " + (branchNum == 0 ? att.value(trueSplitValue) : att.value(trueSplitValue == 0 ? 1 : 0))); }
Example 5
Source File: Test.java From tsml with GNU General Public License v3.0 | 5 votes |
/** * Gives a string representation of the test, starting from the comparison * symbol. * * @return a string representing the test */ private String testComparisonString() { Attribute att = m_Dataset.attribute(m_AttIndex); if (att.isNumeric()) { return ((m_Not ? ">= " : "< ") + Utils.doubleToString(m_Split,3)); } else { if (att.numValues() != 2) return ((m_Not ? "!= " : "= ") + att.value((int)m_Split)); else return ("= " + (m_Not ? att.value((int)m_Split == 0 ? 1 : 0) : att.value((int)m_Split))); } }
Example 6
Source File: Test.java From tsml with GNU General Public License v3.0 | 5 votes |
/** * Gives a string representation of the test in Prolog notation, starting * from the comparison symbol. * * @return a string representing the test in Prolog notation */ private String testPrologComparisonString() { Attribute att = m_Dataset.attribute(m_AttIndex); if (att.isNumeric()) { return ((m_Not ? ">= " : "< ") + Utils.doubleToString(m_Split,3)); } else { if (att.numValues() != 2) return ((m_Not ? "!= " : "= ") + att.value((int)m_Split)); else return ("= " + (m_Not ? att.value((int)m_Split == 0 ? 1 : 0) : att.value((int)m_Split))); } }
Example 7
Source File: WekaInstance.java From AILibs with GNU Affero General Public License v3.0 | 5 votes |
private Object transformAttributeValueToData(final Attribute att) { if (att.isNominal() || att.isString() || att.isRelationValued() || att.isDate() || att.isRegular()) { return att.value((int) this.getElement().value(att)); } else { return this.getElement().value(att); } }
Example 8
Source File: MekaInstance.java From AILibs with GNU Affero General Public License v3.0 | 5 votes |
private Object transformAttributeValueToData(final Attribute att) { if (att.isNominal() || att.isString() || att.isRelationValued() || att.isDate() || att.isRegular()) { return att.value((int) this.getElement().value(att)); } else { return this.getElement().value(att); } }
Example 9
Source File: Utils.java From wekaDeeplearning4j with GNU General Public License v3.0 | 5 votes |
/** * Copies the attribute name and values of a given nominal attribute * @param oldAttribute attribute to copy * @return duplicated nominal attribute */ public static Attribute copyNominalAttribute(Attribute oldAttribute) { String[] classValues = new String[oldAttribute.numValues()]; for (int classValI = 0; classValI < oldAttribute.numValues(); classValI++) { classValues[classValI] = oldAttribute.value(classValI); } return new Attribute(oldAttribute.name(), Arrays.asList(classValues)); }
Example 10
Source File: Utils.java From wekaDeeplearning4j with GNU General Public License v3.0 | 5 votes |
/** * Copies the attribute name and values of a given nominal attribute * @param oldAttribute attribute to copy * @return duplicated nominal attribute */ public static Attribute copyNominalAttribute(Attribute oldAttribute) { String[] classValues = new String[oldAttribute.numValues()]; for (int classValI = 0; classValI < oldAttribute.numValues(); classValI++) { classValues[classValI] = oldAttribute.value(classValI); } return new Attribute(oldAttribute.name(), Arrays.asList(classValues)); }
Example 11
Source File: InputMappedClassifier.java From tsml with GNU General Public License v3.0 | 4 votes |
private boolean regenerateMapping() throws Exception { loadModel(m_modelPath); // load a model (if specified) if (m_modelHeader == null) { return false; } m_attributeMap = new int[m_modelHeader.numAttributes()]; m_attributeStatus = new int[m_modelHeader.numAttributes()]; m_nominalValueMap = new int[m_modelHeader.numAttributes()][]; for (int i = 0; i < m_modelHeader.numAttributes(); i++) { String modelAttName = m_modelHeader.attribute(i).name(); m_attributeStatus[i] = NO_MATCH; for (int j = 0; j < m_inputHeader.numAttributes(); j++) { String incomingAttName = m_inputHeader.attribute(j).name(); if (stringMatch(modelAttName, incomingAttName)) { m_attributeMap[i] = j; m_attributeStatus[i] = OK; Attribute modelAtt = m_modelHeader.attribute(i); Attribute incomingAtt = m_inputHeader.attribute(j); // check types if (modelAtt.type() != incomingAtt.type()) { m_attributeStatus[i] = TYPE_MISMATCH; break; } // now check nominal values (number, names...) if (modelAtt.numValues() != incomingAtt.numValues()) { System.out.println("[InputMappedClassifier] Warning: incoming nominal " + "attribute " + incomingAttName + " does not have the same " + "number of values as model attribute " + modelAttName); } if (modelAtt.isNominal() && incomingAtt.isNominal()) { int[] valuesMap = new int[incomingAtt.numValues()]; for (int k = 0; k < incomingAtt.numValues(); k++) { String incomingNomValue = incomingAtt.value(k); int indexInModel = modelAtt.indexOfValue(incomingNomValue); if (indexInModel < 0) { valuesMap[k] = NO_MATCH; } else { valuesMap[k] = indexInModel; } } m_nominalValueMap[i] = valuesMap; } } } } return true; }