/** * Sets whether selected columns should be worked on or all the others apart * from these. If true all the other columns are considered for * "nominalization". * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_Cols.setInvert(value); }
/** * Sets whether selected columns should be processed or skipped. * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_AttributeIndices.setInvert(value); }
/** * Sets whether selected columns should be removed or kept. If true the * selected columns are kept and unselected columns are deleted. If false * selected columns are deleted and unselected columns are kept. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_DiscretizeCols.setInvert(invert); }
/** * Sets whether selected columns should be worked on or all the others apart * from these. If true all the other columns are considered for conversion. * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_Cols.setInvert(value); }
/** * Sets whether selected columns should be removed or kept. If true the * selected columns are kept and unselected columns are deleted. If false * selected columns are deleted and unselected columns are kept. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_DiscretizeCols.setInvert(invert); }
/** * Sets whether selected columns should be processed or skipped. * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_SelectedRange.setInvert(value); }
/** * Set whether selected columns should be processed. If true the selected * columns won't be processed. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_SelectCols.setInvert(invert); }
/** * Sets whether selected columns should be worked on or all the others apart * from these. If true all the other columns are considered for * "nominalization". * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_Cols.setInvert(value); }
/** * Sets whether selected columns should be removed or kept. If true the * selected columns are kept and unselected columns are deleted. If false * selected columns are deleted and unselected columns are kept. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_Columns.setInvert(invert); }
/** * Sets whether the selection of the indices is inverted or not * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_Cols.setInvert(value); }
/** * Constructor so that we can initialize the Range variable properly. */ public Remove() { m_SelectCols.setInvert(true); }
/** * Set whether selected columns should be removed or kept. If true the * selected columns are kept and unselected columns are deleted. If false * selected columns are deleted and unselected columns are kept. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_SelectCols.setInvert(!invert); }
/** * Set whether selected columns should be removed or kept. If true the * selected columns are kept and unselected columns are copied. If false * selected columns are copied and unselected columns are kept. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_SelectedCols.setInvert(invert); }
/** * Sets whether selected columns should be removed or kept. If true the * selected columns are kept and unselected columns are deleted. If false * selected columns are deleted and unselected columns are kept. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_Columns.setInvert(invert); }
/** * Set whether selected values should be removed or kept. If true the selected * values are kept and unselected values are deleted. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_Values.setInvert(!invert); }
/** * Sets whether selected columns should be processed or skipped. * * @param invert the new invert setting */ public void setInvertSelection(boolean invert) { m_selectedRange.setInvert(invert); }
/** * Sets whether the selection of the indices is inverted or not * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_Cols.setInvert(value); }
/** * Sets whether selected columns should be worked on or all the others apart * from these. If true all the other columns are considered for * "nominalization". * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_Cols.setInvert(value); }
/** * Constructor so that we can initialize the Range variable properly. */ public Remove() { m_SelectCols.setInvert(true); }
/** * Sets whether selected columns should be processed or skipped. * * @param value the new invert setting */ public void setInvertSelection(boolean value) { m_AttributeIndices.setInvert(value); }