class_docstr: Exception raised when failing to find params in the confounds.
  
  Parameters
  ----------
  params : list of missing params, default=[]
  keywords: list of missing keywords, default=[]
class_docstr_tok: ["Exception","raised","when","failing","to","find","params","in","the","confounds",".","Parameters","--","--","--","--","--","params",":","list","of","missing","params",",","default=","[","]","keywords",":","list","of","missing","keywords",",","default=","[","]"]
docstr: Set missing parameters and keywords.
docstr_tok: ["Set","missing","parameters","and","keywords","."]
code: def __init__(self, params=None, keywords=None):
      """Set missing parameters and keywords."""
      self.params = params or []
      self.keywords = keywords or []
  
imports: import itertools
  import json
  import os
  import re
  import numpy
  import pandas
  from sklearn.preprocessing import scale
  from nilearn._utils.fmriprep_confounds import flag_single_gifti, is_camel_case
  from nilearn.interfaces.bids import parse_bids_filename
  from .load_confounds_scrub import extract_outlier_regressors
label_desc: Use image node_id 1 to create a new MissingConfound object from inherited base classes: Exception with example: obj = MissingConfound(params, keywords)