Skip to main content
Ctrl+K

MVPy

  • API
  • Examples
  • GitHub
  • API
  • Examples
  • GitHub

Section Navigation

  • mvpy
  • mvpy.crossvalidation
    • cross_val_score
    • KFold
    • RepeatedKFold
    • StratifiedKFold
    • RepeatedStratifiedKFold
    • Validator
  • mvpy.dataset
    • make_meeg_categorical
    • make_meeg_colours
    • make_meeg_continuous
    • make_meeg_discrete
    • make_meeg_layout
  • mvpy.estimators
    • B2B
    • Classifier
    • Covariance
    • KernelRidgeCV
    • ReceptiveField
    • RidgeClassifier
    • RidgeCV
    • RidgeDecoder
    • RidgeEncoder
    • RSA
    • Sliding
    • SVC
    • TimeDelayed
  • mvpy.math
    • accuracy
    • cosine
    • cosine_d
    • cv_euclidean
    • cv_mahalanobis
    • euclidean
    • kernel_linear
    • kernel_poly
    • kernel_rbf
    • kernel_sigmoid
    • mahalanobis
    • pearsonr
    • pearsonr_d
    • r2
    • rank
    • roc_auc
    • spearmanr
    • spearmanr_d
  • mvpy.metrics
    • Accuracy
    • Metric
    • R2
    • Roc_auc
    • score
  • mvpy.model_selection
    • Hierarchical
    • hierarchical_score
    • Shapley
    • shapley_score
  • mvpy.preprocessing
    • Clamp
    • LabelBinariser
    • RobustScaler
    • Scaler
  • mvpy.signal
    • hamming_window
    • hann_window
    • raised_cosine_window
  • mvpy.utilities
    • numpy
    • torch
    • get_var
    • is_enabled
    • Progressbar
    • compare
  • API Reference
  • mvpy.metrics

mvpy.metrics#

Accuracy

Implements mvpy.math.accuracy() as a Metric.

Metric

R2

Implements mvpy.math.r2() as a Metric.

Roc_auc

Implements mvpy.math.roc_auc() as a Metric.

score

previous

spearmanr_d

next

Accuracy

© Copyright 2025, Fabian Schneider.

Created using Sphinx 8.1.3.

Built with the PyData Sphinx Theme 0.16.1.