tigerforecast.methods.AutoRegressor() |
Description: Implements the equivalent of an AR(p) method - predicts a linear combination of the previous p observed values in a time-series |
tigerforecast.methods.LastValue() |
Description: Predicts the last value in the time series, i.e. |
tigerforecast.methods.PredictZero() |
Description: Predicts the next value in the time series to be 0, i.e. |
tigerforecast.methods.RNN() |
Description: Produces outputs from a randomly initialized recurrent neural network. |
tigerforecast.methods.LSTM() |
Description: Produces outputs from a randomly initialized LSTM neural network. |
tigerforecast.methods.LeastSquares() |
Description: Implements online least squares. |
tigerforecast.methods.WaveFiltering() |
Description: Predicts the last value in the time series, i.e. |