pyhctsa.operations.model_fit.local_simple¶
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pyhctsa.operations.model_fit.local_simple(y, forecast_meth=
'mean', train_length=3)¶ Simple local time-series forecasting.
Simple predictors using the past trainLength values of the time series to predict its next value.
- Parameters:¶
- y : array-like¶
The input time series
- forecast_meth : str, optional¶
The forecasting method:
’mean’: local mean prediction using the past trainLength time-series values
’median’: local median prediction using the past trainLength time-series values
’lfit’: local linear prediction using the past trainLength time-series values
Default is ‘mean’
- train_length : int or str, optional¶
The number of time-series values to use to forecast the next value. If ‘ac’, uses first zero-crossing of autocorrelation function. Default is 1
- Returns:¶
Dictionary containing output statistics on the residuals of the simple fortecasting method.
- Return type:¶
dict