class_docstr: A csv data provider.
code: def __init__(
      self,
      label_index,
      logits_dimension,
      record_defaults,
      filename,
      validation_filename=None,
      field_delim=",",
  ):
      self._filename = filename
      self._validation_filename = validation_filename
      self._logits_dimension = logits_dimension
      self._record_defaults = record_defaults
      self._field_delim = field_delim
      self._label_index = label_index
      # Indices of the features
      self._features = [str(i) for i in range(len(record_defaults))]
  
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 1 to create a new Provider object from inherited base classes: data with example: obj = Provider(label_index, logits_dimension, record_defaults, filename, validation_filename, field_delim)