class_docstr: A csv data provider.
docstr: Returns feature columns.
code: def get_feature_columns(self):
      """Returns feature columns."""
      features = [
          f for f in self._features if f != str(self._label_index)
      ]
      feature_columns = [
          tf.feature_column.numeric_column(key=key) for key in features
      ]
      return feature_columns
  
file_path: model_search/model_search/data/csv_data.py
imports: from model_search.data import data
  import numpy
  import pandas
  import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling the Provider obj's underlying member method code with example usage: obj.get_feature_columns() and returns: feature_columns