Questions tagged [deployment]
The deployment tag has no usage guidance.
12
questions
0
votes
2
answers
30
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 ...
0
votes
1
answer
21
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: ...
- 171
0
votes
0
answers
539
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:
...
0
votes
0
answers
13
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 ...
0
votes
0
answers
9
views
Shadow deployment vs batch prediction on log?
In shadow deployment we 1) deploy a new model in parallel with the existing one; 2) route every incoming request to both the existing and candidate model; 3) serve the existing model's predictions for ...
- 416
1
vote
0
answers
5
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 ...
- 289
0
votes
0
answers
219
views
How To Scale a multiple columns using a MinMaxScaler() using the pickled file during deployment of the model?
I am trying to deploy an ml model. As a part of processing the data, I am scaling my data. I pickled the scaler and need to do the same in my deployment code. But I am not able to do it correctly.
...
- 111
1
vote
0
answers
546
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-...
- 111
0
votes
0
answers
6
views
Deploying Azure ML Web Service in Flask
I have trained a predictive model on Azure ML Studio, and deployed it as a web service. I have the API key Azure ML gave me. I want to take user input on my own Flask app and get the prediction from ...
- 1
0
votes
0
answers
11
views
Deploy ML model on java web server or on python web application
Newbie here and I only have experience in training machine learning models on Jupyter notebook along with test/validate the model accuracy.
I would like to move on and learn how I can deploy machine ...
0
votes
0
answers
35
views
How to create recommendation systems that are suitable for deployment in production environment for an ecommerce giant?
I am making a recommendation model for an ecommerce client that has huge number of products of various categories. Product data set can be considered similar to that of Amazon. For now, I am starting ...
- 1
1
vote
1
answer
90
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 ...
- 198