Main classes that implement the post-hoc adaptation framework¶
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Work bench for post-hoc alteration of a linear model. |
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Work bench for post-hoc alteration of a linear model, with optimization. |
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A beamformer filter. |
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Work bench for post-hoc alteration of a linear model. |
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Work bench for post-hoc alteration of a linear model, with optimization. |
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A beamformer filter. |
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Empirical estimation of the covariance matrix. |
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Estimation of the covariance matrix using L2 regularization. |
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L2 estimation of the covariance using the kernel formulation. |
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Estimation of the covariance matrix using Shrinkage regularization. |
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Shrinkage estimation of the covariance using the kernel formulation. |
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Kronecker shrinkage of the covariance using the kernel formulation. |
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Generates leave-one-out selections along a given axis. |
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A generator for leave-one-out crossval iterations from a kernel matrix. |
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Compute the mean() and L2 norm of a matrix in a leave-one-out manner. |
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Generate OLS regression coefficients for leave-one-out iterations. |
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Generate OLS regression values for leave-one-out iterations. |
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Generate patterns for leave-one-out iterations of the given model. |
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Pearson correlation score. |
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Logistic loss score. |