Predicted time mistake

[esraozdemir1]

In tsm.py , output and input date_index into "shift_dates function" is same. Because of this, predicted time is the same the last index value.

[RJT1990]

Thanks for reporting. Will resolve tonight and write tests to cover this.

[esraozdemir1]

My index date is epoch time. It's my understanding that this is the reason of error. So , I add the "else" part into the shift_dates function as follows, then the error was fixed.

`` def shift_dates(self,h): date_index = copy.deepcopy(self.index) date_index = date_index[self.max_lag:len(date_index)] if self.is_pandas is True: if isinstance(date_index,pd.tseries.index.DatetimeIndex): if pd.infer_freq(date_index) == 'H' or pd.infer_freq(date_index) == 'M' or pd.infer_freq(date_index) == 'S': for t in range(h): date_index += pd.DateOffset((date_index[len(date_index)-1] - date_index[len(date_index)-2]).seconds) else: # Assume higher frequency (configured for days) for t in range(h): date_index += pd.DateOffset((date_index[len(date_index)-1] - date_index[len(date_index)-2]).days) elif isinstance(date_index,pd.core.index.Int64Index): for i in range(h): new_value = date_index.values[len(date_index.values)-1] + (date_index.values[len(date_index.values)-1] - date_index.values[len(date_index.values)-2]) date_index = pd.Int64Index(np.append(date_index.values,new_value))

    else:
    for i in range(h):
                new_value = date_index.values[len(date_index.values)-1] + (date_index.values[len(date_index.values)-1] - date_index.values[len(date_index.values)-2])
                date_index = pd.Int64Index(np.append(date_index.values,new_value)) 

[RJT1990]

Great, I'll look to incorporate that into the code. Will close this issue once next release is out.

Thanks again :)

[RJT1990]

This is in the current release.