start_invert_differencing: Start row index/period for invert differencing

In stschn/deepANN: Neural Network Toolbox

Start row index/period for invert differencing

Description

start_invert_differencing calculates the row index where to start invert differencing.

Usage

start_invert_differencing(
  invert_first_row,
  differences = 1L,
  timesteps = 1L,
  lag = 0L,
  type = "univariate"
)

Arguments

invert_first_row	The row index of the first row of the training or test data set regarding to the raw data set before differencing.
differences	The number of differences.
timesteps	The number of timesteps.
lag	The number of considered lags on feature side.
type	The type of time series: univariate or multivariate.

Value

The start row index of raw data outcome values before differencing.

See Also

get_period_shift.

Other Recurrent Neural Network (RNN): as_LSTM_X(), as_LSTM_Y(), as_LSTM_data_frame(), as_LSTM_period_outcome(), as_lag(), as_timesteps(), build_LSTM(), fit_LSTM(), get_LSTM_XY(), get_period_shift(), load_weights_ANN(), predict_ANN(), save_weights_ANN()

stschn/deepANN documentation built on June 25, 2024, 7:27 a.m.