def klusters_files(table,basename):
CluFileName,FetFileName,ResFileName,SpkFileName,XMLFileName = (basename + ext for ext in [".clu.1",".fet.1",".res.1",".spk.1",".xml"])
output.write_clu(table.cols.clu[:],CluFileName)
output.write_fet(to2d(table.cols.fet[:]),FetFileName,samples=table.cols.time[:])
output.write_res(table.cols.time[:],ResFileName)
output.write_spk(table.cols.wave[:],SpkFileName)
output.write_xml(n_ch=N_CH,n_samp=S_TOTAL,n_feat=N_CH*FPC,sample_rate=SAMPLE_RATE,filepath=XMLFileName)
def klusters_files(table, basename):
CluFileName, FetFileName, ResFileName, SpkFileName, XMLFileName = (
basename + ext
for ext in [".clu.1", ".fet.1", ".res.1", ".spk.1", ".xml"])
output.write_clu(table.cols.clu[:], CluFileName)
output.write_fet(to2d(table.cols.fet[:]),
FetFileName,
samples=table.cols.time[:])
output.write_res(table.cols.time[:], ResFileName)
output.write_spk(table.cols.wave[:], SpkFileName)
output.write_xml(n_ch=N_CH,
n_samp=S_TOTAL,
n_feat=N_CH * FPC,
sample_rate=SAMPLE_RATE,
filepath=XMLFileName)
def nproject_features_flat(X_nsc):
Fet_nc3 = project_features(X_nsc)
return to2d(Fet_nc3)
def nproject_features_allch(X_nsc):
return 100 * np.tensordot(to2d(X_nsc), PC_df, axes=[1, 1])
def get_features_allch(X_nsc):
global PC_df
PC_df = compute_pcs(to2d(X_nsc))[:(FPC * N_CH)]
def nproject_features_flat(X_nsc):
Fet_nc3 = project_features(X_nsc)
return to2d(Fet_nc3)
def nproject_features_allch(X_nsc):
return 100*np.tensordot(to2d(X_nsc),PC_df,axes = [1,1])
def get_features_allch(X_nsc):
global PC_df
PC_df = compute_pcs(to2d(X_nsc))[:(FPC*N_CH)]