class_docstr: The base class for a first order solver. It defines methods for
  setting a model (giving first order information) and a proximal
  operator
  
  In only deals with verbosing information, and setting parameters
  
  Parameters
  ----------
  step : `float` default=None
      Step-size of the algorithm
  
  tol : `float`, default=0
      The tolerance of the solver (iterations stop when the stopping
      criterion is below it). By default the solver does ``max_iter``
      iterations
  
  max_iter : `int`
      Maximum number of iterations of the solver
  
  verbose : `bool`, default=True
      If `True`, we verbose things, otherwise the solver does not
      print anything (but records information in history anyway)
  
  print_every : `int`, default = 10
      Print history information every time the iteration number is a
      multiple of ``print_every``
  
  record_every : `int`, default = 1
      Information along iteration is recorded in history each time the
      iteration number of a multiple of ``record_every``
  
  Attributes
  ----------
  model : `Model`
      The model to solve
  
  prox : `Prox`
      Proximal operator to solve
  
  dtype : `{'float64', 'float32'}`, default='float64'
      Type of the arrays used. This value is set from model and prox dtypes.
  
  Notes
  -----
  This class should not be used by end-users
code: def __init__(
      self,
      step: float = None,
      tol: float = 0.0,
      max_iter: int = 100,
      verbose: bool = True,
      print_every: int = 10,
      record_every: int = 1,
  ):
      self.dtype = None
  
      Solver.__init__(
          self, tol, max_iter, verbose, print_every, record_every
      )
      self.model = None
      self.prox = None
      self.step = step
      # Martin's complicated and useless stuff :)
      self._initial_n_calls_loss_and_grad = 0
      self._initial_n_calls_loss = 0
      self._initial_n_calls_grad = 0
      self._initial_n_passes_over_data = 0
  
file_path: tick/tick/solver/base/first_order.py
imports: import numpy
  from .None import Solver
  from tick.base_model import Model
  from tick.prox.base import Prox
label_desc: Use image node_id 1 to create a new SolverFirstOrder object from inherited base classes: Solver with example: obj = SolverFirstOrder(step, tol, max_iter, verbose, print_every, record_every)