brainda.algorithms package

Subpackages

• brainda.algorithms.decomposition package
  • Submodules
  • brainda.algorithms.decomposition.SKLDA module
    • SKLDA
      • SKLDA.avg_feats1
      • SKLDA.avg_feats2
      • SKLDA.sigma_c1
      • SKLDA.sigma_c2
      • SKLDA.D
      • SKLDA.nu_c1
      • SKLDA.nu_c2
      • SKLDA.fit()
      • SKLDA.transform()
  • brainda.algorithms.decomposition.STDA module
    • STDA
      • STDA.W1
      • STDA.W2
      • STDA.iter_times
      • STDA.wf
      • STDA.fit()
      • STDA.transform()
    • lda_kernel()
    • lda_proba()
  • brainda.algorithms.decomposition.base module
    • FilterBank
      • FilterBank.fit()
      • FilterBank.transform()
      • FilterBank.transform_filterbank()
    • FilterBankSSVEP
      • FilterBankSSVEP.transform()
    • generate_cca_references()
    • generate_filterbank()
    • robust_pattern()
    • sign_flip()
  • brainda.algorithms.decomposition.cca module
    • ECCA
      • ECCA.fit()
      • ECCA.predict()
      • ECCA.transform()
    • FBECCA
      • FBECCA.fit()
      • FBECCA.predict()
    • FBItCCA
      • FBItCCA.fit()
      • FBItCCA.predict()
    • FBMsCCA
      • FBMsCCA.fit()
      • FBMsCCA.predict()
    • FBMsetCCA
      • FBMsetCCA.fit()
      • FBMsetCCA.predict()
    • FBMsetCCAR
      • FBMsetCCAR.fit()
      • FBMsetCCAR.predict()
    • FBSCCA
      • FBSCCA.predict()
    • FBTRCA
      • FBTRCA.fit()
      • FBTRCA.predict()
    • FBTRCAR
      • FBTRCAR.fit()
      • FBTRCAR.predict()
    • FBTtCCA
      • FBTtCCA.fit()
      • FBTtCCA.predict()
    • ItCCA
      • ItCCA.fit()
      • ItCCA.predict()
      • ItCCA.transform()
    • MsCCA
      • MsCCA.fit()
      • MsCCA.predict()
      • MsCCA.transform()
    • MsetCCA
      • MsetCCA.fit()
      • MsetCCA.predict()
      • MsetCCA.transform()
    • MsetCCAR
      • MsetCCAR.fit()
      • MsetCCAR.predict()
      • MsetCCAR.transform()
    • SCCA
      • SCCA.fit()
      • SCCA.predict()
      • SCCA.transform()
    • TRCA
      • TRCA.fit()
      • TRCA.predict()
      • TRCA.transform()
    • TRCAR
      • TRCAR.fit()
      • TRCAR.predict()
      • TRCAR.transform()
    • TtCCA
      • TtCCA.fit()
      • TtCCA.predict()
      • TtCCA.transform()
  • brainda.algorithms.decomposition.csp module
    • CSP
      • CSP.fit()
      • CSP.transform()
    • FBCSP
      • FBCSP.fit()
      • FBCSP.transform()
    • FBMultiCSP
      • FBMultiCSP.fit()
      • FBMultiCSP.transform()
    • MultiCSP
      • MultiCSP.fit()
      • MultiCSP.transform()
    • SPoC
      • SPoC.fit()
      • SPoC.transform()
    • ajd()
    • csp_feature()
    • csp_kernel()
    • gw_csp_kernel()
    • spoc_kernel()
  • brainda.algorithms.decomposition.dsp module
    • DCPM
      • DCPM.fit()
      • DCPM.predict()
      • DCPM.transform()
    • DSP
      • DSP.fit()
      • DSP.predict()
      • DSP.transform()
    • FBDSP
      • FBDSP.fit()
      • FBDSP.predict()
    • pearson_features()
    • xiang_dsp_feature()
    • xiang_dsp_kernel()
  • brainda.algorithms.decomposition.sscor module
    • FBSSCOR
      • FBSSCOR.transform()
    • SSCOR
      • SSCOR.fit()
      • SSCOR.transform()
    • sscor_feature()
    • sscor_kernel()
  • brainda.algorithms.decomposition.tdca module
    • FBTDCA
      • FBTDCA.fit()
      • FBTDCA.predict()
    • TDCA
      • TDCA.fit()
      • TDCA.predict()
      • TDCA.transform()
    • aug_2()
    • proj_ref()
    • tdca_feature()
  • Module contents
• brainda.algorithms.deep_learning package
  • Submodules
  • brainda.algorithms.deep_learning.base module
    • AvgPool2dWithConv
      • AvgPool2dWithConv.forward()
      • AvgPool2dWithConv.training
    • Ensure4d
      • Ensure4d.forward()
      • Ensure4d.training
    • Expression
      • Expression.forward()
      • Expression.training
    • MaxNormConstraintConv2d
      • MaxNormConstraintConv2d.bias
      • MaxNormConstraintConv2d.dilation
      • MaxNormConstraintConv2d.forward()
      • MaxNormConstraintConv2d.groups
      • MaxNormConstraintConv2d.in_channels
      • MaxNormConstraintConv2d.kernel_size
      • MaxNormConstraintConv2d.out_channels
      • MaxNormConstraintConv2d.output_padding
      • MaxNormConstraintConv2d.padding
      • MaxNormConstraintConv2d.padding_mode
      • MaxNormConstraintConv2d.stride
      • MaxNormConstraintConv2d.transposed
      • MaxNormConstraintConv2d.weight
    • MaxNormConstraintLinear
      • MaxNormConstraintLinear.forward()
      • MaxNormConstraintLinear.in_features
      • MaxNormConstraintLinear.out_features
      • MaxNormConstraintLinear.weight
    • NeuralNetClassifierNoLog
      • NeuralNetClassifierNoLog.fit()
      • NeuralNetClassifierNoLog.get_loss()
    • SkorchNet
    • adaptive_batch_norm()
    • compute_out_size()
    • compute_same_pad1d()
    • compute_same_pad2d()
    • identity()
    • np_to_th()
    • squeeze_final_output()
    • transpose_time_to_spat()
  • brainda.algorithms.deep_learning.convca module
  • brainda.algorithms.deep_learning.deepnet module
  • brainda.algorithms.deep_learning.eegnet module
    • SeparableConv2d
      • SeparableConv2d.forward()
      • SeparableConv2d.training
  • brainda.algorithms.deep_learning.guney_net module
  • brainda.algorithms.deep_learning.shallownet module
    • SafeLog
      • SafeLog.forward()
      • SafeLog.training
    • Square
      • Square.forward()
      • Square.training
  • Module contents
• brainda.algorithms.feature_analysis package
  • Submodules
  • brainda.algorithms.feature_analysis.freq_analysis module
    • FrequencyAnalysis
      • FrequencyAnalysis.plot_topomap()
      • FrequencyAnalysis.power_spectrum_periodogram()
      • FrequencyAnalysis.signal_noise_ratio()
      • FrequencyAnalysis.stacking_average()
      • FrequencyAnalysis.sum_y()
  • brainda.algorithms.feature_analysis.time_analysis module
    • TimeAnalysis
      • TimeAnalysis.Chan_Neuroscan
      • TimeAnalysis.Chan_Standard1020
      • TimeAnalysis.average_amplitude()
      • TimeAnalysis.average_latency()
      • TimeAnalysis.get_chan_id()
      • TimeAnalysis.peak_amplitude()
      • TimeAnalysis.peak_latency()
      • TimeAnalysis.plot_multi_trials()
      • TimeAnalysis.plot_single_trial()
      • TimeAnalysis.plot_topomap()
      • TimeAnalysis.stacking_average()
  • brainda.algorithms.feature_analysis.time_freq_analysis module
    • TimeFrequencyAnalysis
      • TimeFrequencyAnalysis.fun_hilbert()
      • TimeFrequencyAnalysis.fun_stft()
      • TimeFrequencyAnalysis.fun_topoplot()
      • TimeFrequencyAnalysis.func_morlet_wavelet()
  • Module contents
• brainda.algorithms.manifold package
  • Submodules
  • brainda.algorithms.manifold.riemann module
    • Alignment
      • Alignment.fit()
      • Alignment.transform()
    • FGDA
      • FGDA.fit()
      • FGDA.transform()
    • FgMDRM
      • FgMDRM.fit()
      • FgMDRM.predict()
      • FgMDRM.transform()
    • MDRM
      • MDRM.fit()
      • MDRM.predict()
      • MDRM.predict_proba()
      • MDRM.transform()
    • RecursiveAlignment
      • RecursiveAlignment.fit()
      • RecursiveAlignment.transform()
    • TSClassifier
      • TSClassifier.fit()
      • TSClassifier.predict()
      • TSClassifier.predict_proba()
    • distance_riemann()
    • expmap()
    • geodesic()
    • logmap()
    • mdrm_kernel()
    • mean_riemann()
    • tangent_space()
    • untangent_space()
    • unvectorize()
    • vectorize()
  • brainda.algorithms.manifold.rpa module
    • get_recenter()
    • get_rescale()
    • get_rotate()
    • recenter()
    • rescale()
    • rotate()
  • Module contents
• brainda.algorithms.transfer_learning package
  • Submodules
  • brainda.algorithms.transfer_learning.base module
  • brainda.algorithms.transfer_learning.lst module
    • LST
      • LST.fit()
      • LST.transform()
    • lst_kernel()
  • brainda.algorithms.transfer_learning.mekt module
    • MEKT
      • MEKT.fit_transform()
    • anova_dimension_reduction()
    • choose_multiple_subjects()
    • dte()
    • graph_laplacian()
    • mekt_feature()
    • mekt_kernel()
    • scatter_matrix()
    • source_discriminability()
  • Module contents
• brainda.algorithms.utils package
  • Submodules
  • brainda.algorithms.utils.covariance module
    • Covariance
      • Covariance.fit()
      • Covariance.transform()
    • covariances()
    • expm()
    • invsqrtm()
    • isPD()
    • logm()
    • matrix_operator()
    • nearestPD()
    • powm()
    • sqrtm()
  • brainda.algorithms.utils.model_selection module
    • EnhancedLeaveOneGroupOut
      • EnhancedLeaveOneGroupOut.split()
    • EnhancedStratifiedKFold
      • EnhancedStratifiedKFold.split()
    • EnhancedStratifiedShuffleSplit
      • EnhancedStratifiedShuffleSplit.split()
    • generate_kfold_indices()
    • generate_loo_indices()
    • generate_shuffle_indices()
    • match_kfold_indices()
    • match_loo_indices()
    • match_shuffle_indices()
    • set_random_seeds()
  • Module contents

Module contents