To create a pre-trained model for C#
$begingroup$
I created a model with machine learning. Using the library Accord.NET.
I would like to keep the pre-trained model in a file (not in the RAM memory) how this is possible?
Note: not necessary to create the model with accord.NET could be with python (TensorFlow, pytorch, etc) but to use the pre-trained model from my desktop application in C#.
Thanks.
machine-learning .net
asked yesterday
mikesneidermikesneider
163
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add a comment |
$begingroup$
I created a model with machine learning. Using the library Accord.NET.
I would like to keep the pre-trained model in a file (not in the RAM memory) how this is possible?
Note: not necessary to create the model with accord.NET could be with python (TensorFlow, pytorch, etc) but to use the pre-trained model from my desktop application in C#.
Thanks.
machine-learning .net
asked yesterday
mikesneidermikesneider
163
New contributor
mikesneider 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 |
$begingroup$
I created a model with machine learning. Using the library Accord.NET.
I would like to keep the pre-trained model in a file (not in the RAM memory) how this is possible?
Note: not necessary to create the model with accord.NET could be with python (TensorFlow, pytorch, etc) but to use the pre-trained model from my desktop application in C#.
Thanks.
machine-learning .net
asked yesterday
mikesneidermikesneider
163
New contributor
mikesneider is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I created a model with machine learning. Using the library Accord.NET.
I would like to keep the pre-trained model in a file (not in the RAM memory) how this is possible?
Note: not necessary to create the model with accord.NET could be with python (TensorFlow, pytorch, etc) but to use the pre-trained model from my desktop application in C#.
Thanks.
machine-learning .net
machine-learning .net
asked yesterday
mikesneidermikesneider
163
New contributor
mikesneider is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
mikesneidermikesneider
163
New contributor
mikesneider is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
edited yesterday
mikesneider
asked yesterday
mikesneidermikesneider
163
New contributor
mikesneider is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked yesterday
mikesneidermikesneider
163
asked yesterday
mikesneidermikesneider
163
163
New contributor
mikesneider is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
mikesneider is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
mikesneider 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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2 Answers
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Welcome to the site - great first question!
In your scenario (assuming I understand it correctly) you have a saved model in python right? So, what I would do is create a new API layer (written in python, using something like the Flask framework) and I would create API endpoints for your algorithmic functions (could be as simple as just 1 for your predict function).
From there, you could run that python script on a server and expose that API to the outside world and it will run/respond just like any other REST API service. At that point, it would be fairly trivial to write C# code to access the API (or any other language you want).
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
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One way is to :
- Build and train the model in Python (TensorFlow)
- Use ml.net Library to execute the model in .net CLR
ML.net Tutorial : https://dotnet.microsoft.com/learn/machinelearning-ai/ml-dotnet-get-started-tutorial/intro
Docs : https://devblogs.microsoft.com/dotnet/announcing-ml-net-0-6-machine-learning-net/ , https://www.nuget.org/packages/Microsoft.ML.TensorFlow/
answered yesterday
Shamit VermaShamit Verma
61016
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
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active
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votes
$begingroup$
Welcome to the site - great first question!
In your scenario (assuming I understand it correctly) you have a saved model in python right? So, what I would do is create a new API layer (written in python, using something like the Flask framework) and I would create API endpoints for your algorithmic functions (could be as simple as just 1 for your predict function).
From there, you could run that python script on a server and expose that API to the outside world and it will run/respond just like any other REST API service. At that point, it would be fairly trivial to write C# code to access the API (or any other language you want).
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
$endgroup$
add a comment |
$begingroup$
Welcome to the site - great first question!
In your scenario (assuming I understand it correctly) you have a saved model in python right? So, what I would do is create a new API layer (written in python, using something like the Flask framework) and I would create API endpoints for your algorithmic functions (could be as simple as just 1 for your predict function).
From there, you could run that python script on a server and expose that API to the outside world and it will run/respond just like any other REST API service. At that point, it would be fairly trivial to write C# code to access the API (or any other language you want).
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
$endgroup$
add a comment |
$begingroup$
Welcome to the site - great first question!
In your scenario (assuming I understand it correctly) you have a saved model in python right? So, what I would do is create a new API layer (written in python, using something like the Flask framework) and I would create API endpoints for your algorithmic functions (could be as simple as just 1 for your predict function).
From there, you could run that python script on a server and expose that API to the outside world and it will run/respond just like any other REST API service. At that point, it would be fairly trivial to write C# code to access the API (or any other language you want).
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
$endgroup$
Welcome to the site - great first question!
In your scenario (assuming I understand it correctly) you have a saved model in python right? So, what I would do is create a new API layer (written in python, using something like the Flask framework) and I would create API endpoints for your algorithmic functions (could be as simple as just 1 for your predict function).
From there, you could run that python script on a server and expose that API to the outside world and it will run/respond just like any other REST API service. At that point, it would be fairly trivial to write C# code to access the API (or any other language you want).
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
answered yesterday
I_Play_With_DataI_Play_With_Data
979419
979419
add a comment |
add a comment |
$begingroup$
One way is to :
- Build and train the model in Python (TensorFlow)
- Use ml.net Library to execute the model in .net CLR
ML.net Tutorial : https://dotnet.microsoft.com/learn/machinelearning-ai/ml-dotnet-get-started-tutorial/intro
Docs : https://devblogs.microsoft.com/dotnet/announcing-ml-net-0-6-machine-learning-net/ , https://www.nuget.org/packages/Microsoft.ML.TensorFlow/
answered yesterday
Shamit VermaShamit Verma
61016
$endgroup$
add a comment |
$begingroup$
One way is to :
- Build and train the model in Python (TensorFlow)
- Use ml.net Library to execute the model in .net CLR
ML.net Tutorial : https://dotnet.microsoft.com/learn/machinelearning-ai/ml-dotnet-get-started-tutorial/intro
Docs : https://devblogs.microsoft.com/dotnet/announcing-ml-net-0-6-machine-learning-net/ , https://www.nuget.org/packages/Microsoft.ML.TensorFlow/
answered yesterday
Shamit VermaShamit Verma
61016
$endgroup$
add a comment |
$begingroup$
One way is to :
- Build and train the model in Python (TensorFlow)
- Use ml.net Library to execute the model in .net CLR
ML.net Tutorial : https://dotnet.microsoft.com/learn/machinelearning-ai/ml-dotnet-get-started-tutorial/intro
Docs : https://devblogs.microsoft.com/dotnet/announcing-ml-net-0-6-machine-learning-net/ , https://www.nuget.org/packages/Microsoft.ML.TensorFlow/
answered yesterday
Shamit VermaShamit Verma
61016
$endgroup$
One way is to :
- Build and train the model in Python (TensorFlow)
- Use ml.net Library to execute the model in .net CLR
ML.net Tutorial : https://dotnet.microsoft.com/learn/machinelearning-ai/ml-dotnet-get-started-tutorial/intro
Docs : https://devblogs.microsoft.com/dotnet/announcing-ml-net-0-6-machine-learning-net/ , https://www.nuget.org/packages/Microsoft.ML.TensorFlow/
answered yesterday
Shamit VermaShamit Verma
61016
answered yesterday
Shamit VermaShamit Verma
61016
answered yesterday
Shamit VermaShamit Verma
61016
answered yesterday
Shamit VermaShamit Verma
61016
61016
add a comment |
add a comment |
mikesneider is a new contributor. Be nice, and check out our Code of Conduct.
mikesneider is a new contributor. Be nice, and check out our Code of Conduct.
mikesneider is a new contributor. Be nice, and check out our Code of Conduct.
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