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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
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1 answer

How can I develop locally when using Iguazio platform?

I want to be able to test my jobs and code on my local machine before executing on a remote cluster. Ideally this will not require a lot of setup on my end. Is this possible?
Nick Schenone
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1 answer

Can I export the list of projects from the Iguazio cluster, how?

I would like to export all my projects from an Iguazio cluster, how will I be able to do it?
xsqian
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0 answers

How can dvc pipeline recognize when to use encoding pipeline while new data added for the modeling?

I have created separate pipelines for feature encoding and feature scaling in DVC. Now, when I will input new data from my flask API, how these DVC pipelines will automatically run and encode and scale data for modelling?
DRP
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1 answer

What are the different runtimes in MLRun?

I'm trying to get a feel for how MLRun executes my Python code. What different runtimes are supported and why would I use one vs the other?
Nick Schenone
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0
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1 answer

Can I use an Active Directory to manage the users and groups in Iguazio platform?

How can I use an active directory to manage the users and groups in the Iguazio platform? I can't find the location to configure Active Directory.
Marcelo Litovsky
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2 answers

Why I got an invalid bucket name error using dvc mlflow on macos

Could anyone tell what's the reason for error: botocore.exceptions.ParamValidationError: Parameter validation failed: Invalid bucket name "": Bucket name must match the regex "^[a-zA-Z0-9.-_]{1,255}$" or be an ARN matching the regex…
Vladimir
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1 answer

is TFX (Tensorflow Extended) being used in big companies

I've recently stumbled upon tensorflow extended, and I've finally started to understand the need and uses of it. It makes the whole machine learning pipeline a lot easier and looks like it can be used to automate the tasks. I wanted to ask seniors…
Muhammad Ahmed
  • 318
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1 answer

Running Neptune in Jupyter Notebook gives NameError that Neptune is not defined

# Create run in project (Neptune) run = neptune.init(project='ssraghuvanshi1989/GCI-01-Lung-CT-Segmentation-20220506') NameError Traceback (most recent call…
Saurabh Raghuvanshi
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1 answer

How to use packaged model tar.gz inside SageMaker Processing Job?

I am working on deploying a full ML pipeline for SageMaker and Airflow. I would like to separate training and processing part of the pipeline. I have a question concerning the SageMakerProcessingOperator(source_code). This operator relies on…
Victor
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1 answer

How do you feed Ragged Tensors to a DNN trained by TensorFlow Extended?

We are developing a ML pipeline with TFX, with the most common components such as ExampleGen, Transform, Trainer, and so on. The examples that have to be fed to the DNN have varying length, so we decided to use the Ragged Tensors to enable an input…
Lorenzo Gagliardi
  • 1
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0 answers

Invalid kube-config file. No configuration found

I am new to kubectl and kserve. Tried to implement and create inference service using the below tutorial. https://www.kubeflow.org/docs/external-add-ons/kserve/first_isvc_kserve/ But while creating the InferenceService I am getting the below error.…
Ruban
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1 answer

How to fast custom AI model prediction through API?

I develop API using Django for AI model but it's prediction is slow and i have lots of request which take time to execute through AI API, I need help to handle multiple Request at same time
Ayaz Khan
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2 answers

On Premise MLOps Pipeline Stack

My motive is to build a MLOps pipeline which is 100% independnt from Cloud service like AWS, GCP and Azure. I have a project for a client in a production factory and would like to build a Camera based Object Tracking ML service for them. I want to…
Mohan Pannirselvam
  • 21
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1 answer

How do we create a SageMaker pipeline using AWS CloudFormation?

I have tried using the AWS::SageMaker::Pipeline resource in CloudFormation. I want to give a pipeline definition in JSON format in CloudFormation. But there aren't any documentation available for that. There is documentation only for a Python SDK…
Harita
  • 16
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0 answers

Deploying multiple huggingface model through docker on EC2

I have deployed a NER model using the docker container on EC2. The generated docker image occupied 3GB with all the dependencies. I have a few questions regarding deploying multiple ML models. Do I need to create an image for each application and…
Knilakshan20
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