package omlr

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Module Omlr.MLRSource

module A = BatArray
Sourcemodule Fn = Filename
module L = BatList
Sourcemodule Log = Dolog.Log
module S = BatString
Sourcetype std_param = {
  1. mean : float;
  2. sd : float;
}
Sourcetype std_params = std_param array
Sourcetype model_param = {
  1. mean : float;
  2. sd : float;
  3. w : float;
}
Sourcetype model = model_param array
Sourceval read_csv_file : randomize:bool -> skip_header:bool -> Utls.filename -> string list
Sourceval matrix_of_csv_lines : sep:char -> string list -> float array array
Sourceval standardization_params : float array array -> std_param array
Sourceval standardize : std_params -> float array array -> unit
Sourceval combine_std_params_and_optim_weights : std_params -> float array -> model
Sourceval dump_model_to_file : Utls.filename -> model_param array -> unit
Sourceval load_model_from_file : Utls.filename -> model
Sourceval regression_formula : int -> string
Sourceval train_model : debug:bool -> float array array -> model
Sourceval predict_one : model -> float array -> float