text: 
  ''' Parameter settings for SFselect training.
      Models of the scaled SFS for classifying neutral evolution from selective sweeps.
  '''
  
  ####################################################################################
  #################################### General #######################################
  ####################################################################################
  
  # prefix of path to simulation data dirs
  sim_dir_pref = "/home/rronen/Documents/selection/data/sim_500_2.4e-07" 
  
  # first & last simulation, used by reader to construct input file names
  first_sim, last_sim = 0, 500
  
  # case & control SFS vector types
  case_type = "case_xpSFS" # can be: case,  case_xpSFS 
  cont_type = "cont_xpSFS" # can be: cont1, cont_xpSFS 
  
  # switch for learning from demographic simulations
  demographic = False
  
  # default name for data (SFS vectors) file
  data_file = "sfs_vectors.pck"
  
  # treatment of fixed mutations
  ignore_xp_fixed  = True  # ignore fixed SNPs if fixed in both populations, otherwise keep
  ignore_all_fixed = False # ignore fixed SNPs, used for strict theta purposes
  
  # maximal number of frequency bins for binned SFS. This is exact number of bins 
  # unless there are fewer haplotypes in the input sample, which shouldn't happen
  max_bins      = 10 # default: 10 (also tried 8,16,20)
  max_bins_case = 7  # default: 7  (also tried 6, 9,11)
  max_bins_cont = 7  # default: 7  (also tried 6, 9,11)
  
  # times points post selection
  times  = [0, 50, 100, 150, 200, 250, 300, 350, 400, 450, 500]
  times += [i for i in range(600,4001,100)]
  
  # selection coefficients
  selection = [0.005, 0.01, 0.02, 0.04, 0.08]
  
  # starting frequency of beneficial allele
  # ignore, here for complience with soft sweep file names
  start_f = [0.0]
  
  # cross-validation fold
  K = 20
  
  # classification error term
  c_grid = [0.1] # [0.01, 0.1, 1.0]
  
  # effective pop size N_e (haplotypes)
  N = 2000
  
  # site frequency folding, as in take min(f, 1-f)
  # WARNING: not properly tested, use with caution
  fold_freq = False 
  
  ####################################################################################
  ################################## for soft sweep ##################################
  ####################################################################################
  
  # sim_dir_pref = "../data/sim_soft_500_2.4e-07" # soft sweep
  # selection = [0.05]
  # start_f = [0.5] # 0.0, 0.1, 0.2, 0.3, 0.4, 0.5
  # c_grid = [1.0]
  
  ####################################################################################
  ############################ for demographic scenario ##############################
  ####################################################################################
  
  #times = [60,80,100,150,200]
  #selection = [0.20]
  #sim_dir_pref = "sim_500_demographic"
  #demographic = True
  
  ####################################################################################
  ############################ for mean scaled SFS plots #############################
  ####################################################################################
  
  #selection = [0.08]
  #times = [150, 250, 1000,2000]
  #max_bins = 130
  