From d2cc3779de7b0b3c51b6e13d48746b95b6715d18 Mon Sep 17 00:00:00 2001
From: mustapha ajeghrir <66799406+Mustapha-AJEGHRIR@users.noreply.github.com>
Date: Fri, 29 Jul 2022 21:46:41 +0200
Subject: [PATCH] Update 180_LSTM_encoder_decoder_anomaly_GE.py

The fit should be done using the trainX as a target to have a reconstruction error.
Thank you
---
 180_LSTM_encoder_decoder_anomaly_GE.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/180_LSTM_encoder_decoder_anomaly_GE.py b/180_LSTM_encoder_decoder_anomaly_GE.py
index 12bf89069..4df792319 100644
--- a/180_LSTM_encoder_decoder_anomaly_GE.py
+++ b/180_LSTM_encoder_decoder_anomaly_GE.py
@@ -103,7 +103,7 @@ def to_sequences(x, y, seq_size=1):
 model.summary()
 
 # fit model
-history = model.fit(trainX, trainY, epochs=10, batch_size=32, validation_split=0.1, verbose=1)
+history = model.fit(trainX, trainX, epochs=10, batch_size=32, validation_split=0.1, verbose=1)
 
 plt.plot(history.history['loss'], label='Training loss')
 plt.plot(history.history['val_loss'], label='Validation loss')