Reinforcement Learning on real time data over a web server
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My question is if its possible to implement a Reinforcement learning model over a NodeJS server ? This server would be receiving binary forms of data( open /close ; Yes/no ) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day( Something like time series , but not exactly). However the learned parameters need to be flushed every week.
Note : The data set which I have doesn't allow methodologies of supervised learning , ie there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
asked 5 mins ago
Savinay_Savinay_
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$begingroup$
My question is if its possible to implement a Reinforcement learning model over a NodeJS server ? This server would be receiving binary forms of data( open /close ; Yes/no ) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day( Something like time series , but not exactly). However the learned parameters need to be flushed every week.
Note : The data set which I have doesn't allow methodologies of supervised learning , ie there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
asked 5 mins ago
Savinay_Savinay_
1
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
add a comment |
$begingroup$
My question is if its possible to implement a Reinforcement learning model over a NodeJS server ? This server would be receiving binary forms of data( open /close ; Yes/no ) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day( Something like time series , but not exactly). However the learned parameters need to be flushed every week.
Note : The data set which I have doesn't allow methodologies of supervised learning , ie there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
asked 5 mins ago
Savinay_Savinay_
1
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
My question is if its possible to implement a Reinforcement learning model over a NodeJS server ? This server would be receiving binary forms of data( open /close ; Yes/no ) in real time.
The objective for the model is to learn from the incoming data for a few days and then predict values for next day( Something like time series , but not exactly). However the learned parameters need to be flushed every week.
Note : The data set which I have doesn't allow methodologies of supervised learning , ie there is no data for the target class.
machine-learning deep-learning time-series dataset reinforcement-learning
machine-learning deep-learning time-series dataset reinforcement-learning
asked 5 mins ago
Savinay_Savinay_
1
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
Savinay_Savinay_
1
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
Savinay_Savinay_
1
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 5 mins ago
Savinay_Savinay_
1
asked 5 mins ago
Savinay_Savinay_
1
1
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
Savinay_ is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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