hidimstat.ada_svr¶
- hidimstat.ada_svr(X, y, rcond=0.001)¶
Statistical inference procedure presented in Gaonkar et al. [1].
- Parameters:
- Xndarray, shape (n_samples, n_features)
Data.
- yndarray, shape (n_samples,)
Target.
- rcondfloat, optional (default=1e-3)
Cutoff for small singular values. Singular values smaller than rcond * largest_singular_value are set to zero.
- Returns:
- beta_hatarray, shape (n_features,)
Estimated parameter vector.
- scalendarray, shape (n_features,)
Value of the standard deviation of the parameters.
References
[1]Gaonkar, B., & Davatzikos, C. (2012, October). Deriving statistical significance maps for SVM based image classification and group comparisons. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 723-730). Springer, Berlin, Heidelberg.