SYMBOL INDEX (44 symbols across 5 files)

FILE: classif.py
  class XdawnCovariances (line 10) | class XdawnCovariances(BaseEstimator,TransformerMixin):
    method __init__ (line 15) | def __init__(self,nfilter=4,subelec=-1):
    method fit (line 19) | def fit(self,X,y):
    method transform (line 40) | def transform(self,X):
    method fit_transform (line 44) | def fit_transform(self,X,y):
  class TangentSpace (line 48) | class TangentSpace(BaseEstimator, TransformerMixin):
    method __init__ (line 50) | def __init__(self,metric='riemann',tsupdate = False):
    method fit (line 56) | def fit(self,X,y=None):
    method transform (line 60) | def transform(self,X):
    method fit_transform (line 68) | def fit_transform(self,X,y=None):
  class AddMeta (line 73) | class AddMeta(BaseEstimator, TransformerMixin):
    method __init__ (line 75) | def __init__(self,meta=None):
    method fit (line 78) | def fit(self,X,y=None):
    method transform (line 81) | def transform(self,X):
    method fit_transform (line 87) | def fit_transform(self,X,y=None):
  class ElectrodeSelect (line 91) | class ElectrodeSelect(BaseEstimator, TransformerMixin):
    method __init__ (line 93) | def __init__(self,nelec = 20,nfilters=5,metric='riemann'):
    method fit (line 100) | def fit(self,X,y=None):
    method transform (line 119) | def transform(self,X):
    method fit_transform (line 122) | def fit_transform(self,X,y=None):
  function updateMeta (line 126) | def updateMeta(clf,Meta):
  function baggingIterator (line 130) | def baggingIterator(opts,users):

FILE: cross_valid.py
  function from_yaml_to_func (line 21) | def from_yaml_to_func(method,params):
  function makeCV (line 28) | def makeCV(kfolds,X,Labels,User,Meta,clf,opts):

FILE: prediction.py
  function from_yaml_to_func (line 18) | def from_yaml_to_func(method,params):
  function BaggingFunc (line 26) | def BaggingFunc(bag,Labels,X,Meta,User,X_test,Meta_test,User_test):

FILE: preproc/preproc.py
  function bandpass (line 15) | def bandpass(sig,band,fs):

FILE: riemann/utils.py
  function sqrtm (line 7) | def sqrtm(Ci):
  function logm (line 14) | def logm(Ci):
  function expm (line 19) | def expm(Ci):
  function invsqrtm (line 26) | def invsqrtm(Ci):
  function powm (line 33) | def powm(Ci,alpha):
  function distance (line 41) | def distance(C0,C1):
  function geodesic (line 44) | def geodesic(C0,C1,alpha):
  function tangent_space (line 52) | def tangent_space(covmats,ref):
  function riemann_mean (line 77) | def riemann_mean(covmats,tol=10e-9,maxiter=50):
  function logeuclid_mean (line 111) | def logeuclid_mean(covmats):
  function logdet_mean (line 120) | def logdet_mean(covmats,tol=10e-5,maxiter=50):
  function euclid_mean (line 144) | def euclid_mean(covmats):
  function identity (line 147) | def identity(covmats):
  function mean_covariance (line 151) | def mean_covariance(covmats,metric='riemann',*args):
  function covariances (line 160) | def covariances(X):
  function covariances_EP (line 167) | def covariances_EP(X,P):
  function eegtocov (line 175) | def eegtocov(sig,window=128,overlapp=0.5,padding = True):