The Transform Data Module
- class ciderpress.dft.transform_data.EMap(i, scale=1.0, center=0.0, bounds=None)
- class ciderpress.dft.transform_data.FeatureNormalizer
- class ciderpress.dft.transform_data.LMap(i, bounds=None)
- class ciderpress.dft.transform_data.OmegaMap(i_n, i_s, i_alpha, c, B, C, bounds=None)
- class ciderpress.dft.transform_data.SLBMap(i, j, k)
beta = (tau - tauw) / (tau + tau0)
- class ciderpress.dft.transform_data.SLDMap(i, j, k)
- class ciderpress.dft.transform_data.SLNMap(i, gamma)
- class ciderpress.dft.transform_data.SLTMap(i, j)
beta = (tau - tau0) / (tau + tau0)
- class ciderpress.dft.transform_data.SLTWMap(i, j)
beta = (tauw - tau0) / (tauw + tau0)
- class ciderpress.dft.transform_data.SLXMap(i, j, gamma)
gamma * s^2 / (1 + gamma * s^2), where s^2 is the squared reduced gradient s^2 = sigma / C n^8/3
- class ciderpress.dft.transform_data.SignedUMap(i, gamma)
- class ciderpress.dft.transform_data.TMap(i, j, bounds=None)
- class ciderpress.dft.transform_data.UMap(i, gamma, bounds=None)
- class ciderpress.dft.transform_data.V2Map(i, j)
- class ciderpress.dft.transform_data.V3Map(i, j, gamma)
- class ciderpress.dft.transform_data.V4Map(i, j, gamma)
- class ciderpress.dft.transform_data.VMap(i, gamma, scale=1.0, center=0.0, bounds=None)
- class ciderpress.dft.transform_data.VZMap(i, gamma, scale=1.0, center=0.0, bounds=None)
- class ciderpress.dft.transform_data.WMap(i, j, k, gammai, gammaj)
- class ciderpress.dft.transform_data.XMap(i, j, k, gammai, gammaj)
- class ciderpress.dft.transform_data.YMap(i, j, k, l, gammai, gammaj, gammak)
- class ciderpress.dft.transform_data.ZMap(i, gamma, scale=1.0, center=0.0, bounds=None)