class_docstr: Base class for interfacing prophet and neuralprophet.
class_docstr_tok: ["Base","class","for","interfacing","prophet","and","neuralprophet","."]
docstr: Convert int to date, for use by prophet.
docstr_tok: ["Convert","int","to","date",",","for","use","by","prophet","."]
code: def _convert_int_to_date(self, y):
      """Convert int to date, for use by prophet."""
      y = y.copy()
      idx_max = y.index[-1] + 1
      int_idx = pd.date_range(
          start="2000-01-01", periods=idx_max, freq="D"
      )
      int_idx = int_idx[y.index]
      y.index = int_idx
      return y
  
imports: import os
  import pandas
  from sktime.forecasting.base import BaseForecaster
label_desc: Use image node_id 1 for calling the _ProphetAdapter obj's underlying member method code with example usage: obj._convert_int_to_date(y) and returns: y