Is there an R tutorial of using LSTM for multivariate time series forecasting?
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There is a great blog post about how to use keras stateful LSTM in R to forecast sunspots. I applied it to financial ts data sets, and the problem I am encountering is that some of the forecasting numbers are way off to a degree that are unreasonable.
Therefore, I am wondering if there is an R tutorial of using LSTM for multivariate times series forecasting? I'd like to include variables like opening and closing price because I think that will "normalize" the forecasting values. I found a few tutorials in Python but I have limited experience with it. Maybe it's a time to pick up Python? Any advice or suggestions will be appreciated!
r time-series lstm forecasting
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There is a great blog post about how to use keras stateful LSTM in R to forecast sunspots. I applied it to financial ts data sets, and the problem I am encountering is that some of the forecasting numbers are way off to a degree that are unreasonable.
Therefore, I am wondering if there is an R tutorial of using LSTM for multivariate times series forecasting? I'd like to include variables like opening and closing price because I think that will "normalize" the forecasting values. I found a few tutorials in Python but I have limited experience with it. Maybe it's a time to pick up Python? Any advice or suggestions will be appreciated!
r time-series lstm forecasting
asked 13 hours ago
T-TT-T
1
New contributor
T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
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add a comment |
$begingroup$
There is a great blog post about how to use keras stateful LSTM in R to forecast sunspots. I applied it to financial ts data sets, and the problem I am encountering is that some of the forecasting numbers are way off to a degree that are unreasonable.
Therefore, I am wondering if there is an R tutorial of using LSTM for multivariate times series forecasting? I'd like to include variables like opening and closing price because I think that will "normalize" the forecasting values. I found a few tutorials in Python but I have limited experience with it. Maybe it's a time to pick up Python? Any advice or suggestions will be appreciated!
r time-series lstm forecasting
asked 13 hours ago
T-TT-T
1
New contributor
T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
There is a great blog post about how to use keras stateful LSTM in R to forecast sunspots. I applied it to financial ts data sets, and the problem I am encountering is that some of the forecasting numbers are way off to a degree that are unreasonable.
Therefore, I am wondering if there is an R tutorial of using LSTM for multivariate times series forecasting? I'd like to include variables like opening and closing price because I think that will "normalize" the forecasting values. I found a few tutorials in Python but I have limited experience with it. Maybe it's a time to pick up Python? Any advice or suggestions will be appreciated!
r time-series lstm forecasting
r time-series lstm forecasting
asked 13 hours ago
T-TT-T
1
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T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 13 hours ago
T-TT-T
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New contributor
T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 13 hours ago
T-TT-T
1
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T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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asked 13 hours ago
T-TT-T
1
asked 13 hours ago
T-TT-T
1
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T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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T-T is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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