- 2988 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...
- 2988 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
- 2460 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_...
- 2460 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
- 2339 Views
- 3 replies
- 3 kudos
Databricks AutoML (Forecasting) Python SDK for Model Serving
I am using Databricks AutoML ( Python SDK) to forecast bed occupancy. (Actually, Databricks used MLflow experiments for AutoML run). After training with different iterations, I registered the best model in the Databricks Model registry. Now I am tryi...
- 2339 Views
- 3 replies
- 3 kudos
- 3 kudos
Hi, It can be a bug if the python version is 3.9.5 and still the error is on compatibility. Could you please raise a support case to look into it further?
- 3 kudos
- 1006 Views
- 0 replies
- 1 kudos
is it possible to change the boilerplate code on a logged/saved pyfunc mlflow model?
When I log a pyfunc mlflow model, it generates a page that has this helpful code for using the model in production. Make Predictions Predict on a Spark DataFrame: import mlflow from pyspark.sql.functions import struct, col logged_model = 'runs:/1d......
- 1006 Views
- 0 replies
- 1 kudos
- 1118 Views
- 2 replies
- 0 kudos
How can we automate MLFLOW model serving in databricks?
Can we enable model serving either using cli or any other tools without go to the databricks model UI?
- 1118 Views
- 2 replies
- 0 kudos
- 0 kudos
Hi @Shawn Feng​ Does @Atanu Sarkar​ response answer your question? If yes, would you be happy to mark it as best so that other members can find the solution more quickly?We'd love to hear from you.Thanks!
- 0 kudos
- 1306 Views
- 0 replies
- 0 kudos
MLflow model serving: KeyError: 'python_function'
Hello, I am training a logistic regression on text with the help of an tf-idf vectorizer.This is done with MLflow and sklearn in databricks.The model itself is trained successfully in databricks and it is possible to accomplish predictions within the...
- 1306 Views
- 0 replies
- 0 kudos
- 2208 Views
- 1 replies
- 3 kudos
Can't edit the cluster created by mlflow model serving
I'm trying to deploy a ml model into production using mlflow. while in that process, I have registered the model to mlflow models. After that it created the cluster but then it was in pending state forever. when I checked the model events, I see a pr...
- 2208 Views
- 1 replies
- 3 kudos
- 3 kudos
I'm trying to deploy a ml model into production using mlflow. while in that process, I have registered the model to mlflow models. After that it created the cluster but then it was in pending state forever. when I checked the model events, I see a pr...
- 3 kudos
- 2740 Views
- 1 replies
- 1 kudos
Can't edit the cluster created by mlflow model serving
I'm trying to deploy a ml model into production using mlflow. while in that process, I have registered the model to mlflow models. After that it created the cluster but then it was in pending state forever. when I checked the model events, I see a p...
- 2740 Views
- 1 replies
- 1 kudos
- 1 kudos
Hey @ravi g​ Does @Kaniz Fatma​'s answer help? If it does, would you be happy to mark it as best? If it doesn't, please tell us so we can help you.Thanks!
- 1 kudos
- 3968 Views
- 1 replies
- 2 kudos
Resolved! How to deploy or create mlflow model as docker image with REST api endpoint within databricks?
Is it possible to create mlflow model as a docker image with REST api endpoint and use it for inferencing within databricks or hosting the image in azure container instances?
- 3968 Views
- 1 replies
- 2 kudos
- 2 kudos
@Vijeth Moudgalya​ , Hey there, we are definitely interested in making model serving easier and simpler on Databricks. There are some useful product features coming down the line - contact me at bilal dot aslam at databricks dot com if you are intere...
- 2 kudos
- 2285 Views
- 2 replies
- 3 kudos
Resolved! How to enable and disable Model Serving using Rest API
ML flow model serving in Databricks docs details the options to enable and disable from the UIhttps://docs.databricks.com/applications/mlflow/model-serving.html
- 2285 Views
- 2 replies
- 3 kudos
- 3 kudos
Please find below the REST APIs to enable and disable Model-ServingBelow are the examples in PythonYou need to use the token to interact with Rest APItoken = "dxxxxxx"instance = "https://<workspacexxx>.cloud.databricks.com"headers = {'Authorization':...
- 3 kudos