create_regressor: Create a NGBoostRegressor object
In acca3003/ngboostR: R Wrapper for NGBoost python module

Create a NGBoostRegressor object

create_regressor(
  Dist = NULL,
  Base = default_tree_learner,
  natural_gradient = TRUE,
  n_estimators = as.integer(500),
  learning_rate = 0.01,
  minibatch_frac = 1,
  col_sample = 1,
  verbose = TRUE,
  verbose_eval = as.integer(100),
  tol = 1e-04
)

`natural_gradient`	logical flag indicating whether the natural gradient should be used
`n_estimators`	the number of boosting iterations to fit
`learning_rate`	the learning rate
`minibatch_frac`	the percent subsample of rows to use in each boosting iteration
`col_sample`	the percent subsample of columns to use in each boosting iteration
`verbose`	flag indicating whether output should be printed during fitting
`verbose_eval`	increment (in boosting iterations) at which output should be printed
`tol`	numerical tolerance to be used in optimization