code: def __init__(self, gamma=1e-2, C=1, alpha=1):
      self.gamma = gamma
      super().__init__(
          C=C, alpha=alpha, loss="squared_hinge", penalty="l1"
      )
  
file_path: lightning/examples/plot_sparse_non_linear.py
imports: import numpy
  import pylab
  from sklearn.metrics.pairwise import rbf_kernel
  from lightning.classification import CDClassifier
  from lightning.classification import KernelSVC
label_desc: Use image node_id 1 to create a new SparseNonlinearClassifier object from inherited base classes: CDClassifier with example: obj = SparseNonlinearClassifier(gamma, C, alpha)