Package weka.core

Examples of weka.core.Instance.index()

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        if (inst.index(i) != classIndex) {
          if (inst.isMissingSparse(i) || inst.classIsMissing()) {
            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
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            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
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            if (!inst.isMissingSparse(i)) {
              counts[inst.index(i)][(int)inst.valueSparse(i)][numClasses] +=
                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
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                inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            } else if (!inst.classIsMissing()) {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [numClasses] += inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
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              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [numClasses] += inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            }
          } else {
            counts[inst.index(i)][(int)inst.valueSparse(i)]
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              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [(int)inst.classValue()] += inst.weight();
              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [numClasses] += inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            }
          } else {
            counts[inst.index(i)][(int)inst.valueSparse(i)]
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              counts[inst.index(i)][0][(int)inst.classValue()] -=
                inst.weight();
            } else {
              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [numClasses] += inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            }
          } else {
            counts[inst.index(i)][(int)inst.valueSparse(i)]
              [(int)inst.classValue()] += inst.weight();
            counts[inst.index(i)][0][(int)inst.classValue()] -= inst.weight();
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              counts[inst.index(i)][data.attribute(inst.index(i)).numValues()]
                [numClasses] += inst.weight();
              counts[inst.index(i)][0][numClasses] -= inst.weight();
            }
          } else {
            counts[inst.index(i)][(int)inst.valueSparse(i)]
              [(int)inst.classValue()] += inst.weight();
            counts[inst.index(i)][0][(int)inst.classValue()] -= inst.weight();
          }
        }
      }
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              counts[inst.index(i)][0][numClasses] -= inst.weight();
            }
          } else {
            counts[inst.index(i)][(int)inst.valueSparse(i)]
              [(int)inst.classValue()] += inst.weight();
            counts[inst.index(i)][0][(int)inst.classValue()] -= inst.weight();
          }
        }
      }
    }
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      // Update weight vector to reflect change a1 and a2, if linear SVM
      if (m_KernelIsLinear) {
  Instance inst1 = m_data.instance(i1);
  for (int p1 = 0; p1 < inst1.numValues(); p1++) {
    if (inst1.index(p1) != m_data.classIndex()) {
      m_weights[inst1.index(p1)] +=
        y1 * (a1 - alph1) * inst1.valueSparse(p1);
    }
  }
  Instance inst2 = m_data.instance(i2);
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