Index

A

accuracy() (in module mvpy.math.accuracy) alpha_ (mvpy.estimators.decoder.Decoder attribute) (mvpy.estimators.ridgecv.RidgeCV attribute)

alpha_per_target (mvpy.estimators.b2b.B2B attribute) alphas (mvpy.estimators.b2b.B2B attribute) (mvpy.estimators.encoder.Encoder attribute) (mvpy.estimators.timedelayed.TimeDelayed attribute)

B

B2B (class in mvpy.estimators.b2b)

C

c_ (mvpy.estimators.timedelayed.TimeDelayed attribute) causal_ (mvpy.estimators.b2b.B2B attribute) classes_ (mvpy.estimators.classifier.Classifier attribute) Classifier (class in mvpy.estimators.classifier) clone() (mvpy.estimators.b2b.B2B method) (mvpy.estimators.classifier.Classifier method) (mvpy.estimators.covariance.Covariance method) (mvpy.estimators.decoder.Decoder method) (mvpy.estimators.encoder.Encoder method) (mvpy.estimators.ridgecv.RidgeCV method) (mvpy.estimators.rsa.RSA method) (mvpy.estimators.scaler.Scaler method) (mvpy.estimators.sliding.Sliding method) (mvpy.estimators.timedelayed.TimeDelayed method)

coef_ (mvpy.estimators.classifier.Classifier attribute) (mvpy.estimators.decoder.Decoder attribute) (mvpy.estimators.encoder.Encoder attribute) (mvpy.estimators.ridgecv.RidgeCV attribute) (mvpy.estimators.timedelayed.TimeDelayed attribute) collect() (mvpy.estimators.sliding.Sliding method) copy() (mvpy.estimators.scaler.Scaler method) cosine() (in module mvpy.math.cosine) cosine_d() (in module mvpy.math.cosine) Covariance (class in mvpy.estimators.covariance) covariance_ (mvpy.estimators.covariance.Covariance attribute) cv_euclidean() (in module mvpy.math.crossvalidated) cv_mahalanobis() (in module mvpy.math.crossvalidated) cx_ (mvpy.estimators.rsa.RSA attribute) cy_ (mvpy.estimators.rsa.RSA attribute)

D

Decoder (class in mvpy.estimators.decoder)

decoder_ (mvpy.estimators.b2b.B2B attribute) dims (mvpy.estimators.sliding.Sliding attribute)

E

Encoder (class in mvpy.estimators.encoder) encoder_ (mvpy.estimators.b2b.B2B attribute) estimator (mvpy.estimators.encoder.Encoder attribute) (mvpy.estimators.rsa.RSA attribute) (mvpy.estimators.sliding.Sliding attribute) (mvpy.estimators.timedelayed.TimeDelayed attribute)

estimator_ (mvpy.estimators.classifier.Classifier attribute) (mvpy.estimators.decoder.Decoder attribute) estimators_ (mvpy.estimators.classifier.Classifier attribute) (mvpy.estimators.sliding.Sliding attribute) euclidean() (in module mvpy.math.euclidean)

F

f_ (mvpy.estimators.timedelayed.TimeDelayed attribute) fit() (mvpy.estimators.b2b.B2B method) (mvpy.estimators.classifier.Classifier method) (mvpy.estimators.covariance.Covariance method) (mvpy.estimators.decoder.Decoder method) (mvpy.estimators.encoder.Encoder method) (mvpy.estimators.ridgecv.RidgeCV method) (mvpy.estimators.rsa.RSA method) (mvpy.estimators.scaler.Scaler method) (mvpy.estimators.sliding.Sliding method) (mvpy.estimators.timedelayed.TimeDelayed method)

fit_intercept (mvpy.estimators.b2b.B2B attribute) fit_transform() (mvpy.estimators.covariance.Covariance method) (mvpy.estimators.rsa.RSA method) (mvpy.estimators.scaler.Scaler method) (mvpy.estimators.sliding.Sliding method) fs (mvpy.estimators.timedelayed.TimeDelayed attribute) full_rdm() (mvpy.estimators.rsa.RSA method)

G

grouped (mvpy.estimators.rsa.RSA attribute)

I

intercept_ (mvpy.estimators.classifier.Classifier attribute) (mvpy.estimators.decoder.Decoder attribute) (mvpy.estimators.encoder.Encoder attribute) (mvpy.estimators.ridgecv.RidgeCV attribute) (mvpy.estimators.timedelayed.TimeDelayed attribute)

inverse_transform() (mvpy.estimators.scaler.Scaler method)

K

kwargs (mvpy.estimators.encoder.Encoder attribute) (mvpy.estimators.timedelayed.TimeDelayed attribute)

M

mahalanobis() (in module mvpy.math.mahalanobis) mean_ (mvpy.estimators.scaler.Scaler attribute) module mvpy mvpy.estimators mvpy.estimators.b2b mvpy.estimators.classifier mvpy.estimators.covariance mvpy.estimators.decoder mvpy.estimators.encoder mvpy.estimators.ridgecv mvpy.estimators.rsa mvpy.estimators.scaler mvpy.estimators.sliding mvpy.estimators.timedelayed mvpy.math mvpy.math.accuracy mvpy.math.cosine mvpy.math.crossvalidated mvpy.math.euclidean mvpy.math.mahalanobis mvpy.math.pearsonr mvpy.math.rank mvpy.math.roc_auc mvpy.math.spearmanr mvpy.signal mvpy.utilities mvpy.utilities.progressbar mvpy module mvpy.estimators module mvpy.estimators.b2b module mvpy.estimators.classifier module mvpy.estimators.covariance module mvpy.estimators.decoder module

mvpy.estimators.encoder module mvpy.estimators.ridgecv module mvpy.estimators.rsa module mvpy.estimators.scaler module mvpy.estimators.sliding module mvpy.estimators.timedelayed module mvpy.math module mvpy.math.accuracy module mvpy.math.cosine module mvpy.math.crossvalidated module mvpy.math.euclidean module mvpy.math.mahalanobis module mvpy.math.pearsonr module mvpy.math.rank module mvpy.math.roc_auc module mvpy.math.spearmanr module mvpy.signal module mvpy.utilities module mvpy.utilities.progressbar module

N

n_jobs (mvpy.estimators.rsa.RSA attribute)

normalise (mvpy.estimators.b2b.B2B attribute) normalise_decoder (mvpy.estimators.b2b.B2B attribute)

P

pattern_ (mvpy.estimators.b2b.B2B attribute) (mvpy.estimators.classifier.Classifier attribute) (mvpy.estimators.decoder.Decoder attribute) (mvpy.estimators.timedelayed.TimeDelayed attribute) patterns (mvpy.estimators.timedelayed.TimeDelayed attribute) pearsonr() (in module mvpy.math.pearsonr) pearsonr_d() (in module mvpy.math.pearsonr) precision_ (mvpy.estimators.covariance.Covariance attribute) predict() (mvpy.estimators.b2b.B2B method) (mvpy.estimators.classifier.Classifier method) (mvpy.estimators.decoder.Decoder method) (mvpy.estimators.encoder.Encoder method) (mvpy.estimators.ridgecv.RidgeCV method) (mvpy.estimators.sliding.Sliding method) (mvpy.estimators.timedelayed.TimeDelayed method)

predict_proba() (mvpy.estimators.classifier.Classifier method) (mvpy.estimators.sliding.Sliding method) Progressbar (class in mvpy.utilities.progressbar)

R

rank() (in module mvpy.math.rank) rdm_ (mvpy.estimators.rsa.RSA attribute)

RidgeCV (class in mvpy.estimators.ridgecv) roc_auc() (in module mvpy.math.roc_auc) RSA (class in mvpy.estimators.rsa)

S

scale_ (mvpy.estimators.scaler.Scaler attribute) Scaler (class in mvpy.estimators.scaler) scaler_ (mvpy.estimators.b2b.B2B attribute) set_fit_request() (mvpy.estimators.scaler.Scaler method)

shape_ (mvpy.estimators.scaler.Scaler attribute) shrinkage_ (mvpy.estimators.covariance.Covariance attribute) Sliding (class in mvpy.estimators.sliding) spearmanr() (in module mvpy.math.spearmanr) spearmanr_d() (in module mvpy.math.spearmanr)

T

t_max (mvpy.estimators.timedelayed.TimeDelayed attribute) t_min (mvpy.estimators.timedelayed.TimeDelayed attribute) TimeDelayed (class in mvpy.estimators.timedelayed) to_numpy() (mvpy.estimators.covariance.Covariance method) (mvpy.estimators.rsa.RSA method) (mvpy.estimators.scaler.Scaler method) to_torch() (mvpy.estimators.covariance.Covariance method) (mvpy.estimators.rsa.RSA method) (mvpy.estimators.scaler.Scaler method)

top (mvpy.estimators.sliding.Sliding attribute) tqdm_joblib() (in module mvpy.utilities.progressbar) transform() (mvpy.estimators.covariance.Covariance method) (mvpy.estimators.rsa.RSA method) (mvpy.estimators.scaler.Scaler method) (mvpy.estimators.sliding.Sliding method)

V

var_ (mvpy.estimators.scaler.Scaler attribute)

verbose (mvpy.estimators.rsa.RSA attribute) (mvpy.estimators.sliding.Sliding attribute)

W

w_ (mvpy.estimators.timedelayed.TimeDelayed attribute)

whitener_ (mvpy.estimators.covariance.Covariance attribute) window (mvpy.estimators.timedelayed.TimeDelayed attribute)