class_docstr: Random experiment design.
  Random values for all variables within the given bounds.
class_docstr_tok: ["Random","experiment","design",".","Random","values","for","all","variables","within","the","given","bounds","."]
code: def get_samples_without_constraints(self, init_points_count):
      samples = np.empty((init_points_count, self.space.dimensionality))
  
      self.fill_noncontinous_variables(samples)
  
      if self.space.has_continuous():
          X_design = samples_multidimensional_uniform(
              self.space.get_continuous_bounds(), init_points_count
          )
          samples[:, self.space.get_continuous_dims()] = X_design
  
      return samples
  
file_path: GPyOpt/GPyOpt/experiment_design/random_design.py
imports: import numpy
  from .base import ExperimentDesign
  from ..core.task.variables import BanditVariable, DiscreteVariable, CategoricalVariable
label_desc: Use image node_id 5 for calling the RandomDesign obj's underlying member method code with example usage: obj.get_samples_without_constraints(init_points_count) and returns: samples