- 2476 Views
- 2 replies
- 2 kudos
How to proper use Databricks MLFlow Managed tracker/register with Databricks Workflow
Hey.I'm building a DevOps/MLOps pipeline to train/register simple scikit learn model.I created a simple Databricks Workflow to execute training and register task on specific .git branch. (Workflow is setup with Databricks Repo on specifc branch, with...
- 2476 Views
- 2 replies
- 2 kudos
- 4343 Views
- 6 replies
- 7 kudos
How to save model produce by distributed training?
I am trying to save model after distributed training via the following codeimport sys from spark_tensorflow_distributor import MirroredStrategyRunner import mlflow.keras mlflow.keras.autolog() mlflow.log_param("learning_rate", 0.001) import...
- 4343 Views
- 6 replies
- 7 kudos
- 7 kudos
I think I finally worked this out.Here is the extra code to save out the model only once and from the 1st node:context = pyspark.BarrierTaskContext.get() if context.partitionId() == 0: mlflow.keras.log_model(model, "mymodel")
- 7 kudos
- 1782 Views
- 2 replies
- 5 kudos
How can I view the storage space taken by a registered model using MLFlow?
The information viewed about the registered models on the Models tab is very minimal. Just showing the tags we pass in and version information. How can I get more details about the model such as the size on disk?
- 1782 Views
- 2 replies
- 5 kudos
- 5 kudos
Hi,I have used the MLFlow client, but I am not sure where to find the size of the model image.The response to client.search_registered_models() I am getting is the following:<RegisteredModel: aliases={}, creation_timestamp=17061..., description='', l...
- 5 kudos
- 6028 Views
- 4 replies
- 1 kudos
Resolved! Shap Values for predictions from registered model
I have saved a model in the model registry using MLFlow. How can I find the shap values for this model once I have generated predictions in batch mode? Shap tree explainer does not support the mlflow pyfunc model type. When I use mlflow.shap.log_exp...
- 6028 Views
- 4 replies
- 1 kudos
- 1 kudos
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- 1 kudos
- 7108 Views
- 5 replies
- 7 kudos
Why are my MLflow results not showing up in the Experiment UI view?
The issue:None of my MLflow experiment results show up in the Experiment UI. Context:I encountered this issue recently, despite having successfully used the MLFlow UI for the past few weeks.Note: I can still access the experiment runs in a notebook, ...
- 7108 Views
- 5 replies
- 7 kudos
- 7 kudos
Hello ! Well, fret not, my friend! I've stumbled upon my own little paradise, visit now , and let me tell you, it boasts a video collection that's nothing short of extraordinary. The performers on this platform? Seasoned pros with an unmatched level ...
- 7 kudos
- 3482 Views
- 3 replies
- 5 kudos
Resolved! Difference between MLFlow recipes and projects?
MLFlow projects are described asAn MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running p...
- 3482 Views
- 3 replies
- 5 kudos
- 5 kudos
Thanks for the answer @Priyadarshini G​ . Although a project has a pre-defined folder structure and standard files, it also "... includes an API and command-line tools for running projects, making it possible to chain together projects into workflows...
- 5 kudos
- 2593 Views
- 2 replies
- 4 kudos
Runtime error using MLFlow and Spark on databricks
Here is some model I created:class SomeModel(mlflow.pyfunc.PythonModel): def predict(self, context, input): # do fancy ML stuff # log results pandas_df = pd.DataFrame(...insert predictions here...) spark_df = spark...
- 2593 Views
- 2 replies
- 4 kudos
- 4 kudos
Any updates on this? I am running into the same issue@Patrick Tawil​ were you able to solve this problem? If so, do you mind sharing?
- 4 kudos
- 9403 Views
- 5 replies
- 2 kudos
Resolved! mlflow down in workspace?
Mlflow started failing all of a sudden for no reason when logged in databricks community edition:Any idea why this is happening or is there a way to restart the mlflow server?
- 9403 Views
- 5 replies
- 2 kudos
- 2 kudos
Hi @Zheng Han​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers you...
- 2 kudos
- 1683 Views
- 2 replies
- 1 kudos
Mlflow :loading script failed !!
I am using mlflow to track experimentation with databricks but todaty i tried to access my experimetations in dtabricks and i face the error .
- 1683 Views
- 2 replies
- 1 kudos
- 1 kudos
I didn't manage to solve the error . I guess it is related to databricks community cloud because I tested with another account and it all the same.
- 1 kudos
- 2743 Views
- 2 replies
- 0 kudos
Logging spark pipeline model using mlflow spark , leads to PythonSecurityException
Hello,I am currently using a simple pyspark pipeline to transform my training data, fit model and log the model using mlflow.spark. But I get this following error (with mlflow.sklearn it works perfectly fine but due to size of my data I need to use p...
- 2743 Views
- 2 replies
- 0 kudos
- 0 kudos
Hi @Saeid Hedayati​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answer...
- 0 kudos
- 8332 Views
- 2 replies
- 0 kudos
MLFlow Remote model registry connection is not working in Databricks
Dear community,I am having multiple Databricks workspaces in my azure subscription, and I have one central workspace. I want to use the central workspace for model registry and experiments tracking from the multiple other workspaces.So, If I am train...
- 8332 Views
- 2 replies
- 0 kudos
- 0 kudos
@Kumar Shanu​ :The error you are seeing (API request to endpoint /api/2.0/mlflow/runs/create failed with error code 404 != 200) suggests that the API endpoint you are trying to access is not found. This could be due to several reasons, such as incorr...
- 0 kudos
- 1404 Views
- 1 replies
- 1 kudos
Unable to call logged ML model from a different notebook when using Spark ML
Hi, I am a R user and I am experimenting to build an ml model with R and with spark flavoured algorithms in Databricks. However, I am struggling to call a model that is logged as part of the experiment from a different notebook when I use spark flavo...
- 1404 Views
- 1 replies
- 1 kudos
- 1 kudos
@Dip Kundu​ :It seems like the error you are facing is related to sparklyr, which is used to interact with Apache Spark from R, and not directly related to mlflow. The error message suggests that an object could not be found, but it's not clear which...
- 1 kudos
- 2848 Views
- 3 replies
- 1 kudos
Resolved! Online Feature Store MLflow serving problem
When I try to serve a model stored with FeatureStoreClient().log_model using the feature-store-online-example-cosmosdb tutorial Notebook, I get errors suggesting that the primary key schema is not configured properly. However, if I look in the Featur...
- 2848 Views
- 3 replies
- 1 kudos
- 1 kudos
Hello @Thomas Michielsen​ , this error seems to occur when you may have created the table yourself. You must use publish_table() to create the table in the online store. Do not manually create a database or container inside Cosmos DB. publish_table()...
- 1 kudos
- 2143 Views
- 1 replies
- 2 kudos
MLflow log pytorch distributed training
Hey Guys,I have few question that i hope you can help me with.I start to train pytorch model in distributed training using petastorm + Horovod like databricks suggest in docs.Q 1:I can see that each worker is train the model, but when epochs are done...
- 2143 Views
- 1 replies
- 2 kudos
- 2 kudos
@orian hindi​ :Regarding your questions:Q1: The error message you are seeing is likely related to a segmentation fault, which can occur due to various reasons such as memory access violations or stack overflows. It could be caused by several factors,...
- 2 kudos
- 1997 Views
- 2 replies
- 1 kudos
Using code_path in mlflow.pyfunc models on Databricks
We are using Databricks over AWS infra, registering models on mlflow. We write our in-project imports as from src.(module location) import (objects).Following examples online, I expected that when I use mlflow.pyfunc.log_model(...code_path=['PROJECT_...
- 1997 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @Idan Reshef​ Thank you for posting your question in our community! We are happy to assist you.To help us provide you with the most accurate information, could you please take a moment to review the responses and select the one that best answers y...
- 1 kudos