class_docstr: A minimal (but valid) convolutional kernel for sequences of variable
  length.
code: def hyperparameter_baseline_similarity(self):
      return Hyperparameter(
          "baseline_similarity",
          "numeric",
          self.baseline_similarity_bounds,
      )
  
file_path: scikit-learn/sklearn/gaussian_process/tests/_mini_sequence_kernel.py
imports: import numpy
  from sklearn.base import clone
  from sklearn.gaussian_process.kernels import GenericKernelMixin, Hyperparameter, Kernel, StationaryKernelMixin
label_desc: Use image node_id 2 for calling the MiniSeqKernel obj's underlying member method code with example usage: obj.hyperparameter_baseline_similarity() and returns: Hyperparameter