class_docstr: Isolation Forest algorithm based on ExtraTreeRegressor
  Task type - regression
docstr: Method for making boolean mask of inliers classified as False
  
  :param input_data: data with features, target and ids to process
  :return mask: boolean mask of inliers classified as False
docstr_tok: ["Method","for","making","boolean","mask","of","inliers","classified","as","False",":","param","input_data",":","data","with","features",",","target","and","ids","to","process",":","return","mask",":","boolean","mask","of","inliers","classified","as","False"]
code: def _get_inlier_mask(self, input_data: InputData) -> np.ndarray:
      """Method for making boolean mask of inliers classified as False
  
      :param input_data: data with features, target and ids to process
      :return mask: boolean mask of inliers classified as False
      """
  
      predictions = self.operation.predict(input_data.features)
      mask = predictions == 1
      return mask
  
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 3 for calling the IsolationForestRegImplementation obj's underlying member method code with example usage: obj._get_inlier_mask(input_data) and returns: mask