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| author | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2018-06-07 12:45:34 +0100 |
|---|---|---|
| committer | Gertjan van den Burg <gertjanvandenburg@gmail.com> | 2018-06-07 12:45:34 +0100 |
| commit | 168c4c533e4328b0338d61f6b5d2742692ca6a5b (patch) | |
| tree | d1699b9c5f3daf093566fea8bd3c093441889f7d /gensvm | |
| parent | update submodule (diff) | |
| download | pygensvm-168c4c533e4328b0338d61f6b5d2742692ca6a5b.tar.gz pygensvm-168c4c533e4328b0338d61f6b5d2742692ca6a5b.zip | |
Change default coef to 1 so we have inhomogeneous poly kernel
Diffstat (limited to 'gensvm')
| -rw-r--r-- | gensvm/core.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/gensvm/core.py b/gensvm/core.py index 8163c4d..a729bea 100644 --- a/gensvm/core.py +++ b/gensvm/core.py @@ -91,7 +91,7 @@ class GenSVM(BaseEstimator, ClassifierMixin): 'auto' then 1/n_features will be used. See `Kernels in GenSVM <gensvm_kernels_>`_ for the exact implementation of the kernels. - coef : float, optional (default=0.0) + coef : float, optional (default=1.0) Kernel parameter for the poly and sigmoid kernel. See `Kernels in GenSVM <gensvm_kernels_>`_ for the exact implementation of the kernels. @@ -142,7 +142,7 @@ class GenSVM(BaseEstimator, ClassifierMixin): """ def __init__(self, p=1.0, lmd=1e-5, kappa=0.0, epsilon=1e-6, - weights='unit', kernel='linear', gamma='auto', coef=0.0, + weights='unit', kernel='linear', gamma='auto', coef=1.0, degree=2.0, kernel_eigen_cutoff=1e-8, verbose=0, random_state=None, max_iter=1e8): |