backend Package

backend Package

To remove backends from your distribution, edit this list.

builtin Module

scot.backend.builtin.activate()

scot.backend.builtin.wrapper_binica(data)

scot.backend.builtin.wrapper_pca(x, reducedim)

sklearn Module

class scot.backend.sklearn.VAR(model_order, fitobj=LinearRegression(copy_X=True, fit_intercept=True, normalize=False))

Bases: scot.var.VARBase

Represents a vector autoregressive (VAR) model.

Note on the arrangement of model coefficients:

b is of shape m, m*p, with sub matrices arranged as follows:

b_00 b_01 ... b_0m b_10 b_11 ... b_1m .... .... .... b_m0 b_m1 ... b_mm

Each sub matrix b_ij is a column vector of length p that contains the filter coefficients from channel j (source) to channel i (sink).

fit(data)

Fit the model to data.

scot.backend.sklearn.activate()

scot.backend.sklearn.wrapper_fastica(data)

scot.backend.sklearn.wrapper_pca(x, reducedim)

sklearn_utils Module