reservoirnet (version 0.3.0)

generate_data: Load data from the Japanese vowels or the Mackey-Glass

Description

Mackey-Glass time series [8]_ [9]_, computed from the Mackey-Glass delayed differential equation:

Usage

generate_data(
  dataset = c("japanese_vowels", "mackey_glass", "both"),
  one_hot_encode = TRUE,
  repeat_targets = FALSE,
  reload = FALSE,
  n_timesteps,
  tau = 17,
  a = 0.2,
  b = 0.1,
  n = 10,
  x0 = 1.2,
  h = 1
)

Value

array of shape (n_timesteps, 1) Mackey-Glass timeseries.

Arguments

dataset

(String) take value in array [japanese_vowels,mackey_glass]

one_hot_encode

(bool), default to True. If True, returns class label as a one-hot encoded vector.

repeat_targets

(bool), default to False. If True, repeat the target label or vector along the time axis of the corresponding sample.

reload

(bool), default to False If True, re-download data from remote repository. Else, if a cached version of the dataset exists, use the cached dataset.

n_timesteps

(int) Number of time steps to compute.

tau

(int), default to 17 Time delay :math:`\tau` of Mackey-Glass equation. By defaults, equals to 17. Other values can change the choatic behaviour of the timeseries.

a

(float) default to 0.2 :math:`a` parameter of the equation.

b

(float) default to 0.1 :math:`b` parameter of the equation.

n

(int) default to 10 :math:`n` parameter of the equation.

x0

(float), optional, default to 1.2 Initial condition of the timeseries.

h

(float), default to 1.0 Time delta between two discrete timesteps.

Examples

if(interactive()){
japanese_vowels <- generate_data(dataset="japanese_vowels")
timeSerie <- generate_data(dataset = "mackey_glass",n_timesteps = 2500)
res =generate_data(dataset <- "both",n_timesteps = 2500)
}