class_docstr: The kernel class allows to define 1 element of the kernel matrix of a
  Hawkes process
class_docstr_tok: ["The","kernel","class","allows","to","define","1","element","of","the","kernel","matrix","of","a","Hawkes","process"]
docstr: Computes L1 norm
  
  Parameters
  ----------
  n_steps : `int`
      number of steps used for integral discretization
  
  Notes
  -----
  By default it approximates Riemann sum with step-wise function.
  It might be overloaded if L1 norm closed formula exists
docstr_tok: ["Computes","L1","norm","Parameters","--","--","--","--","--","n_steps",":","`","int","`","number","of","steps","used","for","integral","discretization","Notes","--","--","-","By","default","it","approximates","Riemann","sum","with","step-wise","function",".","It","might","be","overloaded","if","L1","norm","closed","formula","exists"]
code: def get_norm(self, n_steps=10000):
      """Computes L1 norm
  
      Parameters
      ----------
      n_steps : `int`
          number of steps used for integral discretization
  
      Notes
      -----
      By default it approximates Riemann sum with step-wise function.
      It might be overloaded if L1 norm closed formula exists
      """
      return self._kernel.get_norm(n_steps)
  
file_path: tick/tick/hawkes/simulation/hawkes_kernels/hawkes_kernel.py
imports: from tick.base import Base
  from tick.hawkes.simulation.build.hawkes_simulation import HawkesKernel
label_desc: Use image node_id 9 for calling the HawkesKernel obj's underlying member method code with example usage: obj.get_norm(n_steps) and returns: self