Load the Scaler for the pre-trained Long Short Term Memory (LSTM) Network

Loads the scaler object within the LSTMfactors package. This object is a list containing a mean vector and a standard deviation vector, which were computed from the 1,000,000 datasets data.datasets.LSTM training the Long Short Term Memory (LSTM) Network. It serves as a tool for normalizing features in LSTM.

load.scaler()

Value

scaler objective.

Examples

library(LSTMfactors)

scaler <- load.scaler()
print(scaler)
#> $means
#>  [1]  3.85473363  2.23900553  1.91115334  1.67192030  1.48584157  1.33651388
#>  [7]  1.20787935  1.10923691  1.02212731  0.95019767  2.22708983  0.70510766
#> [13]  0.44185121  0.26740026  0.13896533  0.04232092 -0.02760048 -0.08016894
#> [19] -0.11475688 -0.13651167
#> 
#> $sds
#>  [1] 2.0233955 0.8674056 0.7633381 0.6960061 0.6323624 0.5730228 0.5323546
#>  [8] 0.4871191 0.4614935 0.4439322 1.8275074 0.6592427 0.5443661 0.4537732
#> [15] 0.3737929 0.3026467 0.2393471 0.1868065 0.1439237 0.1110071
#>