class_docstr: Class for applying feature selection operations on tabular data 
class_docstr_tok: ["Class","for","applying","feature","selection","operations","on","tabular","data"]
docstr: Check if features table contain only one column 
docstr_tok: ["Check","if","features","table","contain","only","one","column"]
code: def _is_input_data_one_dimensional(features_to_process: np.array):
      """Check if features table contain only one column"""
      return features_to_process.shape[1] == 1
  
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 6 for calling the FeatureSelectionImplementation obj's underlying member method code with example usage: obj._is_input_data_one_dimensional(features_to_process) and returns: unknown