class_docstr: A dataset in tabular format (with rows = samples, columns = features/variables).
  This object is essentially a pandas DataFrame (with some extra attributes) and all existing pandas methods can be applied to it.
  For full list of methods/attributes, see pandas Dataframe documentation: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html
  
  Parameters
  ----------
  data : :class:`pd.DataFrame` or str
      If str, path to data file (CSV or Parquet format).
      If you already have your data in a :class:`pd.DataFrame`, you can specify it here.
  
  Attributes
  ----------
  file_path: (str)
      Path to data file from which this `TabularDataset` was created.
      None if `data` was a :class:`pd.DataFrame`.
  
  Note: In addition to these attributes, `TabularDataset` also shares all the same attributes and methods of a pandas Dataframe.
  For a detailed list, see:  https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html
  
  Examples
  --------
  >>> from autogluon.core.dataset import TabularDataset
  >>> train_data = TabularDataset('https://autogluon.s3.amazonaws.com/datasets/Inc/train.csv')
  >>> train_data.head(30)
  >>> train_data.columns
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code: def _constructor(self):
      return TabularDataset
  
imports: import pandas
  from .utils.loaders import load_pd
label_desc: Use image node_id 1 for calling the TabularDataset obj's underlying member method code with example usage: obj._constructor() and returns: TabularDataset