class_docstr: Class for applying feature selection operations on tabular data 
class_docstr_tok: ["Class","for","applying","feature","selection","operations","on","tabular","data"]
docstr: Method for making prediction for prediction stage
  
  :param input_data: data with features, target and ids to process
  :return output_data: filtered input data by columns
docstr_tok: ["Method","for","making","prediction","for","prediction","stage",":","param","input_data",":","data","with","features",",","target","and","ids","to","process",":","return","output_data",":","filtered","input","data","by","columns"]
code: def transform(self, input_data: InputData) -> OutputData:
      """Method for making prediction for prediction stage
  
      :param input_data: data with features, target and ids to process
      :return output_data: filtered input data by columns
      """
      if self.is_not_fitted:
          return self._convert_to_output(
              input_data, input_data.features
          )
  
      features = input_data.features
      source_features_shape = features.shape
      transformed_features = self._make_new_table(features)
  
      # Update features
      output_data = self._convert_to_output(
          input_data, transformed_features
      )
      self._update_column_types(source_features_shape, output_data)
      return output_data
  
imports: from typing import Optional
  import numpy
  from sklearn.feature_selection import RFE
  from sklearn.linear_model import LinearRegression, LogisticRegression
  from sklearn.tree import DecisionTreeClassifier, 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 3 for calling the FeatureSelectionImplementation obj's underlying member method code with example usage: obj.transform(input_data) and returns: output_data, self