/** * Only tests whether the number of instances stay the same, with default * setup of filter. */ public void testTypical() { m_Filter = getFilter(); performTest(); }
/** * Only tests whether the number of instances stay the same, with default * setup of filter. */ public void testTypical() { m_Filter = getFilter(); performTest(); }
/** * Runs filter with covariance matrix + centering rather than correlation * + standardizing. */ public void testCovariance() { m_Filter = getFilter(); ((PrincipalComponents) m_Filter).setCenterData(true); performTest(); }
/** * Runs filter with a maximum number of attributes. */ public void testMaxAttributes() { m_Filter = getFilter(); ((PrincipalComponents) m_Filter).setMaximumAttributeNames(2); performTest(); }
/** * Runs filter with different variance. */ public void testVariance() { m_Filter = getFilter(); ((PrincipalComponents) m_Filter).setVarianceCovered(0.8); performTest(); }
/** * Runs filter with covariance matrix + centering rather than correlation * + standardizing. */ public void testCovariance() { m_Filter = getFilter(); ((PrincipalComponents) m_Filter).setCenterData(true); performTest(); }
/** * Runs filter with different variance. */ public void testVariance() { m_Filter = getFilter(); ((PrincipalComponents) m_Filter).setVarianceCovered(0.8); performTest(); }
/** * Runs filter with a maximum number of attributes. */ public void testMaxAttributes() { m_Filter = getFilter(); ((PrincipalComponents) m_Filter).setMaximumAttributeNames(2); performTest(); }