Questions tagged [mlflow]

Use this tag for questions about the machine-learning platform MLflow

722 questions
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Keep track of all the parameters of spark-submit

I have a team where many member has permission to submit Spark tasks to YARN (the resource management) by command line. It's hard to track who is using how much cores, who is using how much memory...e.g. Now I'm looking for a software, framework or…
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How to change experiment being tracked by Databricks "runs" tab?

I'm trying to use the mlflow databricks integration, specifically the tracking API. Normally, I can view past runs info in the handy sidebar of a notebook, as you can see here and which I got from the tutorial. However, what I want now is to use…
information_interchange
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How do I specify mlflow MLproject with zero parameters?

I tried to create MLproject with zero parameters as: name: test conda_env: conda.yaml entry_points: main: parameters: command: "python test.py" when I get an error: Traceback (most recent call last): File…
Sameer Mahajan
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Not able to save pyspark iforest model using pyspark

Using iforest as described here: https://github.com/titicaca/spark-iforest But model.save() is throwing exception: Exception: scala.NotImplementedError: The default jsonEncode only supports string, vector and matrix. org.apache.spark.ml.param.Param…
Sandie
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MLflow Error while deploying the Model to local REST server

System Details: Operating System: Ubuntu 19.04 Anaconda version: 2019.03 Python version: 3.7.3 mlflow version: 1.0.0 Steps to Reproduce: https://mlflow.org/docs/latest/tutorial.html Error at line/command: mlflow models serve -m [path_to_model] -p…
Atul Kamble
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mlflow can't find .py file

I'm trying to learn to use mlflow by creating a very simple project and log it. I've tried following mlflow's example and my code runs properly when running the main.py as a normal bash command. I couldn't make it run using the mlflow CLI using…
Yair Beer
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Accessing MLFlow UI with a folder name different than mlruns

I set the tracking_uri to a folder name different than mlruns. Is there a way I can open the MLFlow UI pointing to the new folder name for mlruns? I know I can rename the folder back to mlruns, which gets me access to all of my metrics and…
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Can't run MLflow web-based user interface

I've installed MLflow on Ubuntu Server 18.04 LTS, in a virtual environment (Python 3), using its Quickstart documentation: $ python3 -m venv mlflow $ source /home/emre/mlflow/bin/activate $ pip install mlflow that gave the following output during…
Emre Sevinç
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How can I refactor terraform module that creates vpc?

I found an example of an ML flow deployment on aws using terraform here: https://github.com/Glovo/terraform-aws-mlflow/blob/master/terratest/examples/main.tf. The problem is that it declares a "vpc" module, and it seems this is deprecated with the…
Boris
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No module named 'mlflow.sklearn'; 'mlflow' is not a package

installed mlflow on my windows machine with pip install mlflow followed by other dependent library pandas,numpy,sklearn Ran a tutorial on wine quality model from the give link https://www.mlflow.org/docs/latest/tutorials-and-examples/tutorial.html I…
Shiv948
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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
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How to set ML Flow to log test metrics in sklearn

I have set up ML Flow and the UI is logging the training metrics, but not the test metrics in sklearn. I am using Jupyter Notebooks and ML Flow UI
jw32022
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MLFLOW - Is there a way to override Pytorch Wrapper?

I am trying to use pytorch in mlflow. Currently, predict method allows data that is only of pd.DataFrame or np.ndarray type, is there a way to override this and write a custom predict method without writing a completely new loader_module? The source…
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Is there a way to log stats/artifacts from AWS Glue Job using mlfow?

Could you please let me know if any such feature available in the current version of mlflow?
Naga Budigam
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How to register a yolo model weights in azure machine learning notebook

I am training Yolo-nas model on Object detection. I want to create a model register for the model weights. Can anyone help me in this!! Code: - from super_gradients.training import Trainer CHECKPOINT_DIR = CHECKPOINT_DIR trainer =…
ram_98
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