class_docstr: Abstract class for the simulation of a model with a features
  matrix.
  
  Parameters
  ----------
  intercept : `float`, default=`None`
      The intercept. If None, then no intercept is used
  
  features : `numpy.ndarray`, shape=(n_samples, n_features), default=`None`
      The features matrix to use. If None, it is simulated
  
  n_samples : `int`, default=200
      Number of samples
  
  n_features : `int`, default=30
      Number of features
  
  features_type : `str`, default="cov_toeplitz"
      The type of features matrix to simulate
  
      * If ``"cov_toeplitz"`` : a Gaussian distribution with
        Toeplitz correlation matrix
  
      * If ``"cov_uniform"`` : a Gaussian distribution with
        correlation matrix given by O.5 * (U + U.T), where U is
        uniform on [0, 1] and diagonal filled with ones.
  
  cov_corr : `float`, default=0.5
      Correlation to use in the Toeplitz correlation matrix
  
  features_scaling : `str`, default="none"
      The way the features matrix is scaled after simulation
  
      * If ``"standard"`` : the columns are centered and
        normalized
  
      * If ``"min-max"`` : remove the minimum and divide by
        max-min
  
      * If ``"norm"`` : the columns are normalized but not centered
  
      * If ``"none"`` : nothing is done to the features
  
  seed : `int`
      The seed of the random number generator
  
  verbose : `bool`
      If True, print things
  
  dtype : `{'float64', 'float32'}`, default='float64'
      Type of the generated arrays.
      Used in the case features is None
code: def _as_dict(self):
      dd = Simu._as_dict(self)
      dd.pop("features", None)
      dd.pop("labels", None)
      return dd
  
file_path: tick/tick/base/simulation/simu_with_features.py
imports: import numpy
  from warnings import warn
  from os import linesep
  from .None import Simu
  from tick.simulation import features_normal_cov_toeplitz, features_normal_cov_uniform
label_desc: Use image node_id 8 for calling the SimuWithFeatures obj's underlying member method code with example usage: obj._as_dict() and returns: dd