class_docstr: An sklearn classifier adapter for fasttext using the first column.
  
  Parameters
  ----------
  **kwargs
      Additional keyword arguments will be redirected to
      fasttext.train_supervised.
class_docstr_tok: ["An","sklearn","classifier","adapter","for","fasttext","using","the","first","column",".","Parameters","--","--","--","--","--","*","*","kwargs","Additional","keyword","arguments","will","be","redirected","to","fasttext.train_supervised","."]
code: def _input_col(self, X):
      return np.array(X)[:, 0]
  
imports: import os
  import abc
  import numpy
  from fasttext import train_supervised
  from sklearn.base import BaseEstimator, ClassifierMixin
  from sklearn.utils.multiclass import unique_labels
  from sklearn.exceptions import NotFittedError
  from .util import temp_dataset_fpath, dump_xy_to_fasttext_format, python_fasttext_model_to_bytes, bytes_to_python_fasttext_model
label_desc: Use image node_id 1 for calling the FirstColFtClassifier obj's underlying member method code with example usage: obj._input_col(X) and returns: np