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Standard LSTM

<p><strong>Standard LSTM</strong></p>

Standard LSTM

Dataset available*:

  • New_cases_2020-2022-6 countries.xlsx

  • New_cases_2020-2022-additional_31_country.xlsx

*) included in this workflow

Sorter
load:New_cases (time series multi country)
Excel Reader
add:Window
Expression
GroupBy
save output
for each country
Group Loop Start
define experiment GENERAL attribute:country, model, or other atributes
Table Creator
path:relative to current workflow
prepare filename
add:Window
Expression
standard LSTM model
Python Script
train-inner set
Row Filter
(include 7-data carry over from train-inner set)term: in-sample = validation = within-window validation (term on thesis)
in-sample set
reset RowID
RowID
Table Row to Variable
loop: window
Recursive Loop End
Window Table Generator(#windows =10)
Python Script
based on:currentIteration
Current Window
(include 7-data carry over from in-sample set)
out-of-sample set
calculate:train_inner_end
Math Formula
sequence builder(include normalizer z-score: fit to train-inner, apply to in-sample and out-of-sample)
Python Script
for each window
Recursive Loop Start
loop: country
Loop End
add:Window
Expression

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: adria
Created at: 2026-04-21
On NodePit since: 2026-08-27
Last update: 2026-08-29
Created with KNIME version: v5.8.4

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