Stack Overflow
Stack Overflow

Questions tagged [mlops]

This tag is for programming questions about MLOps, which is the application of DevOps principles in the design and deployment of Machine Learning (ML) systems.

See also:

Related tags

  • mlflow
  • kubeflow
  • feature-store
228 questions
0
votes
1 answer

How to access Key vault from ML OPs

I have ml code running in Azure ML workspace. The same code is deployed Aks cluster deployed vnet using Azure MLops pipeline through inference cluster. Key-vault is created for storing variables accessed within jupyter notebook While testing the…
Coder
  • 39
  • 7
0
votes
1 answer

Could not create azure compute instances using azure devops CI pipeline

Below is the error I am getting ERROR: {'Azure-cli-ml Version': '1.27.0', 'Error': AuthenticationException: Message: Could not retrieve user token. Please run 'az login' InnerException Please run 'az login' to setup account. ErrorResponse { "error":…
VIgnesh Nagaraj
  • 29
  • 4
0
votes
1 answer

Pytorch on GCP: Machine type is not available on this endpoint

I'm new to GCP so pardon for prehaps asking/missing something obvious here. I'm trying to deploy and create a version resource on GCP with a custom pytorch model. Everything have been working fine until now until I try to create the a new version of…
Jh123
  • 83
  • 8
0
votes
1 answer

How to create a hyperparameter tuning step in SageMaker pipeline?

I am trying to use the latest SageMaker Python SDK (v2.23.0) to implement a SageMaker pipeline that includes a hyperparameter tuning job. However I didn't see anything in module sagemaker.workflow.steps or sagemaker.workflow.step_collections that I…
dennisqian
  • 1
0
votes
0 answers

AutoML with MLOps leading to me an error - Message: Could not locate the provided model_path

I am try to train a model using automl feature of Azure using a simple dataset which is working fine when doing it manually or via notebook but not working in azure devops pipeline. Created a azure devops pipeline with required service connection to…
Ajay Singh
  • 16
  • 4
0
votes
1 answer

BlueData MLOPS - PermissionError: [Errno 13] Permission denied

I've created a MLOPS project on BlueData 4.0 and mounted the Project Repo (NFS) folder. I created the NFS service on Centos 7x as below: sudo yum -y install nfs-utils sudo mkdir /nfsroot echo '/nfsroot *(rw,no_root_squash,no_subtree_check)' |…
Chris Snow
  • 23,813
  • 35
  • 144
  • 309
0
votes
1 answer

bluedata mlops prediction - 'NoneType' object does not support item assignment

I'm calling the BlueData MLOPS prediction API to get a score for my model, but I'm getting the following response: ============================response begin========================================== Status code : {}200 Status text : {}OK Headers …
Chris Snow
  • 23,813
  • 35
  • 144
  • 309
-1
votes
1 answer

What is the best format for a BigQuery table that is constatly receiving new columns (feature store best practices)

I have a BigQuery table that is used as the input table for an ML model. This model is constantly been changed since the Data Scientists are always coming up with new features for the model. Right now my approach for the problem is altering the…
ThiagoSC
  • 69
  • 1
  • 9
-1
votes
1 answer

Trying to deploy an application with machine learning in an environment whose maximum resource is 250 MB

The problem: I'm trying to deploy an application that uses machine learning over an infrastructure (namely, Deta Space [https://deta.space/]). However, the resource limit they make available is around 250MB and this has been a problem for me. To run…
Student
  • 49
  • 3
-1
votes
1 answer

Issue with the aggregation function in the pipeline during online ingest

I see issue in the aggregation function (part of pipeline) during the online ingest, because aggregation output is invalid (output is different then expectation, I got value 0 instead of 6). The pipeline is really very simple: See part of code…
JIST
  • 1,139
  • 2
  • 8
  • 30
-1
votes
1 answer

Which Algorithms are used for Drift Magnitude and Top Drifting Features by Azure in Data Drift Detection

What is the Exact Algorithm used below to derive the Drift magnitude as a percentage? And how did they get these percentages for Top Drifting Features? This is a sample dashboard for Azure Drift Detection in Data: Azure has specified these…
Imperial_J
  • 306
  • 1
  • 7
  • 23
-1
votes
1 answer

Best practice to deploy multi models that will run concurrently at scale (something like map reduce)

I have a model that consists 150 models (runs in for loop). In order to be performance oriented, I would like to split it into 150 models, that for every request my server gets it will send 150 api requests to every different model and then combine…
Ohad Koren
  • 1
  • 1
-1
votes
1 answer

Why is not recommended to use mlflow on notebook?

It is recommended to use mlflow on .py file instead of a jupyter nootebook. Why? If I use it directly on the notebook, will I have problems in the future?
Laura
  • 1
-1
votes
1 answer

Model Explainability Monitor Job fails for endpoint having two production variants

I have a sagemaker endpoint with two production variants (for A/B testing). After testing, one of the variant gets zero traffic and other gets 100% of the traffic. This results in zero data capturing for the first variant. When model explainability…
absolutemadlad
  • 1
  • 1
-1
votes
1 answer

ML model serving with great developer ergonomics

We are looking for ML model serving with a developer experience where the ML engineers don’t need to know Devops. Ideally we are looking for the following ergonomics or something similar: Initialize a new model serving end point preferably by a…
Humble Debugger
  • 4,439
  • 11
  • 39
  • 56
1 2 3
…
15
16