chickenbestlover / RNN-Time-series-Anomaly-Detection

RNN based Time-series Anomaly detector model implemented in Pytorch.
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2 Layer LSTM #20

Open Tobias128128 opened 5 years ago

Tobias128128 commented 5 years ago

In the article "LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection" from Malhotra are two LSTM layers (encoder and decoder) mentioned. You refered to that article and you wanted to implement that concept. But I can't see in your RNNPredictor-model that you implement two separate LSTM layer. Do you deviate from that concept intentionally or have I missed something?

chickenbestlover commented 5 years ago

Sorry to confuse you. I used only the part to calculate the anomaly score of the paper.

2018년 12월 31일 (월) 오전 1:36, Tobias128128 notifications@github.com님이 작성:

In the article "LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection" from Malhotra are two LSTM layers (encoder and decoder) mentioned. You refered to that article and you wanted to implement that concept. But I can't see in your RNNPredictor-model that you implement two separate LSTM layer. Do you deviate from that concept intentionally or have I missed something?

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Tobias128128 commented 5 years ago

Thank you for your response. Do you think that the architecture in this paper from Malhotra is more powerful?

chickenbestlover commented 5 years ago

You mean enc-dec model is better than rnn prediction model? Yes, I assume that it is because 'reconstruction' is easier than 'prediction'.

2018년 12월 31일 (월) 오후 10:37, Tobias128128 notifications@github.com님이 작성:

Thank you for your response. Do you think that the architecture in this paper from Malhotra is more powerful?

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Tobias128128 commented 5 years ago

I‘ve implemented the lstm autoencoder model in pytorch and it seems to work great with machine data. I‘m now validating the model...

rockytallen commented 5 years ago

I‘ve implemented the lstm autoencoder model in pytorch and it seems to work great with machine data. I‘m now validating the model...

I have read the article 'LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection'. And interested in implementing the model to test also. could you please share with me the information(code) in detail. many thanks

dagap commented 4 years ago

I‘ve implemented the lstm autoencoder model in pytorch and it seems to work great with machine data. I‘m now validating the model...

Did you use a Sequence2Sequence like model for this?