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LSTM DEPLOYMENT

I am new to this but I need to deploy LSTM MODEL on Robotic Arm for my project can anyone kindly guide me as I have trained my model and tested it I just need to know how to deploy it?
BASIT Abdullah's user avatar
0 votes
0 answers
15 views

How to migrate my ML Model from Staging to Prod without having to retrain the model and without lossing the hyperparameters

I want to train my ML model in my staging environment and then push the model to production if it performs well. However, I do not want to retrain the model on the entire dataset. I simply want to ...
QuantumCoderX's user avatar
1 vote
0 answers
70 views

Deploying a model with GPU and pay-per-inference

I may have the wrong stack exchange. If that's the case, could someone point me to a stack that could help with this. Anyways... My backend employs a sentence transformer model from HuggingFace. Since ...
AlwaysLearning's user avatar
6 votes
2 answers
2k views

Do model training pipeline should run on dev, staging and production environment?

I know it's a best practice to ship our code from dev to staging to production by including different level tests and validations that will help to confidently deploy on the production environment. ...
shaik moeed's user avatar
2 votes
1 answer
192 views

Ways to share Pytorch model without revealing architecture?

We are trying to give a model to collaborators but would like to protect the IP. What are some ways to encrypt/hide/compile the definition when sharing a trained model?
Zwerchhau's user avatar
  • 131
2 votes
1 answer
39 views

What is the best approach to deploy N number of ML models as a scalable service in the Cloud?

I've N (~50) number of sentiment models of different languages, which were fine tuned on HggingFace's transformer models. Each of the models as 2-3 GB in size approx. Now, how can I deploy all these ...
Abdullah Al Imran's user avatar
0 votes
2 answers
70 views

Which random_state to use in test_train_split when deploying final model?

I have developed a Random Forest that gives varying results depending on the random state of the test train split. This is normal, because a lot of the values in the data are extreme, without being ...
Nemo_the_scientist's user avatar
0 votes
1 answer
30 views

After experimentation, how do we learn a final model for deployment?

I have a question regarding learning a "final" model for deployment. Assuming my task is a classification one, my workflow during experimentation is as follows. Get the data: ...
Jane Wayne's user avatar
0 votes
0 answers
5k views

ValueError: dtype='numeric' is not compatible with arrays of bytes/strings.Convert your data to numeric values explicitly instead

I am new to machine learning model deployment. In a sequence, local system rises an error while running "app.py" file, that is: ...
shrikanth Arunagiri's user avatar
0 votes
1 answer
157 views

Can I use Population Stability Index (PSI) when observations have multiple variables?

I understand from resources like this one that the Population Stability Index (PSI) can be used to test for data drift when a machine learning model is in production. However, the resources I have ...
Fijoy Vadakkumpadan's user avatar
1 vote
0 answers
7 views

How is model scheduling set up in practice?

I have been working on various machine learning models so far, but never yet on the deployment phase of an ML project. I have vaguely used Apache Airflow and I'm aware that it is a tool for scheduling ...
lazarea's user avatar
  • 299
1 vote
0 answers
2k views

FileNotFoundError: Unsuccessful TensorSliceReader constructor

I am trying to deploy my model. I am encountering the following problem: FileNotFoundError: Unsuccessful TensorSliceReader constructor: Failed to find any matching files for ram://a603e930-4fda-4105-...
Karthik Bhandary's user avatar
1 vote
1 answer
275 views

How to handle categorical feature engineering in ML production?

I have a classification dataset ,where I have a lot of categorical columns . I have one hot encoded ie. dummy variables in my training . How to handle this in production side of ML. There are cases ...
Shubh's user avatar
  • 198