class_docstr: Class for checking types in input data. Also perform conversion for columns with types conflicts
class_docstr_tok: ["Class","for","checking","types","in","input","data",".","Also","perform","conversion","for","columns","with","types","conflicts"]
docstr: Remove from the table columns with conflicts with types were not resolved
  
  :param table: tabular dataset based on which new dataset will be generated
  :param converted_columns: dictionary with actions with table
docstr_tok: ["Remove","from","the","table","columns","with","conflicts","with","types","were","not","resolved",":","param","table",":","tabular","dataset","based","on","which","new","dataset","will","be","generated",":","param","converted_columns",":","dictionary","with","actions","with","table"]
code: def remove_incorrect_features(
      self, table: np.ndarray, converted_columns: dict
  ):
      """
      Remove from the table columns with conflicts with types were not resolved
  
      :param table: tabular dataset based on which new dataset will be generated
      :param converted_columns: dictionary with actions with table
      """
      self.columns_to_del = [
          col_id
          for col_id, new_type_id in converted_columns.items()
          if new_type_id is None
      ]
      table = np.delete(table, self.columns_to_del, 1)
      return table
  
imports: from __future__ import annotations
  from collections.abc import Sequence
  from typing import TYPE_CHECKING, Dict, List, Optional, Tuple
  import numpy
  import pandas
  from golem.core.log import LoggerAdapter, default_log
  from fedot.core.repository.tasks import Task, TaskTypesEnum
label_desc: Use image node_id 4 for calling the TableTypesCorrector obj's underlying member method code with example usage: obj.remove_incorrect_features(table, converted_columns) and returns: table