class_docstr: Base class for applying filtering operations on tabular data 
code: def __init__(self, params: Optional[OperationParameters]):
      super().__init__(params)
      self.inner_model = None
      self.operation = None
  
      self.log = default_log(self)
  
imports: from copy import copy
  from typing import Optional
  import numpy
  import sklearn
  from golem.core.log import default_log
  from pkg_resources import parse_version
  from sklearn.ensemble import IsolationForest
  from sklearn.linear_model import LinearRegression, RANSACRegressor
  from sklearn.pipeline import make_pipeline
  from sklearn.preprocessing import StandardScaler
  from sklearn.tree import DecisionTreeRegressor
  from fedot.core.data.data import InputData, OutputData
  from fedot.core.operations.evaluation.operation_implementations.implementation_interfaces import DataOperationImplementation
  from fedot.core.operations.operation_parameters import OperationParameters
label_desc: Use image node_id 1 to create a new FilterImplementation object from inherited base classes: DataOperationImplementation with example: obj = FilterImplementation(params)