Documentation

Note

If you have not installed MVPy yet, please do so before proceeding. Instructions can be found here 🚀 Getting started with MVPy.

Otherwise, you can start by reading the following sections:

• Examples
• Representational similarity analysis
• Decoders
• Encoders
• Source
  • Subpackages
    • mvpy.estimators package
      • Submodules
      • mvpy.estimators.b2b module
        • B2B
          • B2B.alphas
          • B2B.fit_intercept
          • B2B.normalise
          • B2B.alpha_per_target
          • B2B.normalise_decoder
          • B2B.decoder_
          • B2B.encoder_
          • B2B.scaler_
          • B2B.causal_
          • B2B.pattern_
          • B2B.clone()
          • B2B.fit()
          • B2B.predict()
      • mvpy.estimators.classifier module
        • Classifier
          • Classifier.estimators_
          • Classifier.estimator_
          • Classifier.classes_
          • Classifier.intercept_
          • Classifier.coef_
          • Classifier.pattern_
          • Classifier.clone()
          • Classifier.fit()
          • Classifier.predict()
          • Classifier.predict_proba()
      • mvpy.estimators.covariance module
        • Covariance
          • Covariance.covariance_
          • Covariance.precision_
          • Covariance.whitener_
          • Covariance.shrinkage_
          • Covariance.clone()
          • Covariance.fit()
          • Covariance.fit_transform()
          • Covariance.to_numpy()
          • Covariance.to_torch()
          • Covariance.transform()
      • mvpy.estimators.decoder module
        • Decoder
          • Decoder.estimator_
          • Decoder.pattern_
          • Decoder.coef_
          • Decoder.intercept_
          • Decoder.alpha_
          • Decoder.clone()
          • Decoder.fit()
          • Decoder.predict()
      • mvpy.estimators.encoder module
        • Encoder
          • Encoder.alphas
          • Encoder.kwargs
          • Encoder.estimator
          • Encoder.intercept_
          • Encoder.coef_
          • Encoder.clone()
          • Encoder.fit()
          • Encoder.predict()
      • mvpy.estimators.ridgecv module
        • RidgeCV
          • RidgeCV.alpha_
          • RidgeCV.intercept_
          • RidgeCV.coef_
          • RidgeCV.clone()
          • RidgeCV.fit()
          • RidgeCV.predict()
      • mvpy.estimators.rsa module
        • RSA
          • RSA.rdm_
          • RSA.cx_
          • RSA.cy_
          • RSA.grouped
          • RSA.estimator
          • RSA.n_jobs
          • RSA.verbose
          • RSA.clone()
          • RSA.fit()
          • RSA.fit_transform()
          • RSA.full_rdm()
          • RSA.to_numpy()
          • RSA.to_torch()
          • RSA.transform()
      • mvpy.estimators.scaler module
        • Scaler
          • Scaler.shape_
          • Scaler.mean_
          • Scaler.var_
          • Scaler.scale_
          • Scaler.clone()
          • Scaler.copy()
          • Scaler.fit()
          • Scaler.fit_transform()
          • Scaler.inverse_transform()
          • Scaler.set_fit_request()
          • Scaler.to_numpy()
          • Scaler.to_torch()
          • Scaler.transform()
      • mvpy.estimators.sliding module
        • Sliding
          • Sliding.estimators_
          • Sliding.clone()
          • Sliding.collect()
          • Sliding.dims
          • Sliding.estimator
          • Sliding.fit()
          • Sliding.fit_transform()
          • Sliding.predict()
          • Sliding.predict_proba()
          • Sliding.top
          • Sliding.transform()
          • Sliding.verbose
      • mvpy.estimators.timedelayed module
        • TimeDelayed
          • TimeDelayed.alphas
          • TimeDelayed.kwargs
          • TimeDelayed.patterns
          • TimeDelayed.t_min
          • TimeDelayed.t_max
          • TimeDelayed.fs
          • TimeDelayed.window
          • TimeDelayed.estimator
          • TimeDelayed.f_
          • TimeDelayed.c_
          • TimeDelayed.w_
          • TimeDelayed.intercept_
          • TimeDelayed.coef_
          • TimeDelayed.pattern_
          • TimeDelayed.clone()
          • TimeDelayed.fit()
          • TimeDelayed.predict()
      • Module contents
    • mvpy.math package
      • Submodules
      • mvpy.math.accuracy module
        • accuracy()
      • mvpy.math.cosine module
        • cosine()
        • cosine_d()
      • mvpy.math.crossvalidated module
        • cv_euclidean()
        • cv_mahalanobis()
      • mvpy.math.euclidean module
        • euclidean()
      • mvpy.math.mahalanobis module
        • mahalanobis()
      • mvpy.math.pearsonr module
        • pearsonr()
        • pearsonr_d()
      • mvpy.math.rank module
        • rank()
      • mvpy.math.roc_auc module
        • roc_auc()
      • mvpy.math.spearmanr module
        • spearmanr()
        • spearmanr_d()
      • Module contents
    • mvpy.signal package
      • Module contents
    • mvpy.utilities package
      • Submodules
      • mvpy.utilities.progressbar module
        • Progressbar
        • tqdm_joblib()
      • Module contents
  • Module contents