class_docstr: Multi-term Fourier fit to a light curve
  
  Parameters
  ----------
  omega : float
      angular frequency of the fundamental mode
  n_terms : int
      the number of Fourier modes to use in the fit
class_docstr_tok: ["Multi-term","Fourier","fit","to","a","light","curve","Parameters","--","--","--","--","--","omega",":","float","angular","frequency","of","the","fundamental","mode","n_terms",":","int","the","number","of","Fourier","modes","to","use","in","the","fit"]
code: def __init__(self, omega, n_terms):
      self.omega = omega
      self.n_terms = n_terms
  
file_path: astroML/astroML/time_series/periodogram.py
imports: import numpy
  from sklearn.utils import check_random_state
  from ..utils.decorators import deprecated
  from ..utils.exceptions import AstroMLDeprecationWarning
label_desc: Use image node_id 1 to create a new MultiTermFit object  with example: obj = MultiTermFit(omega, n_terms)