class_docstr: simple wrapper of lightgbm , using importance ranking to select top-k features.
  
  Parameters
  ----------
  fixlen : int
      K for top-K important features.
class_docstr_tok: ["simple","wrapper","of","lightgbm",",","using","importance","ranking","to","select","top-k","features",".","Parameters","--","--","--","--","--","fixlen",":","int","K","for","top-K","important","features","."]
code: def __init__(self, fixlen=10, *args, **kwargs):
      super(SeGBDT, self).__init__()
      self.fixlen = fixlen
      self.args = args
      self.kwargs = kwargs
  
file_path: AutoGL/autogl/module/_feature/selectors/se_gbdt.py
imports: from ..None import register_feature
  import lightgbm
  from sklearn.model_selection import train_test_split
  import psutil
  from .base import BaseSelector
  import numpy
  import copy
  import pandas
label_desc: Use image node_id 1 to create a new SeGBDT object from inherited base classes: BaseSelector with example: obj = SeGBDT(fixlen)