Databricks

raghagra · 07-19-2023

I have been trying to log mlflow model but seems to be not working. It logs only the last(which is also the worst run).#-------------------------------------------------------13.0 ML XGBOost------------------------------------------------------------...

raghagra · 07-12-2023

I have been trying to deploy spark ML Models from the experiement page via UI, the deployment gets aborted after a long run, any particular reason for why this might be happening? I have also taken care of dependencies still it is failing.Dependency ...

raghagra · 07-31-2023

@Kumaran Ran this code, but any specific log that I should be looking for?

raghagra · 07-22-2023

@Kumaran Still did not work. getting the below error:2023/07/22 11:30:21 INFO mlflow.spark: Inferring pip requirements by reloading the logged model from the databricks artifact repository, which can be time-consuming. To speed up, explicitly specify...

raghagra · 07-13-2023

@Kumaran Thanks for the reply kumaram The deployment was finally successful for Random Forest algorithm, failing for sparkxgbregressor.Sharing code snippet:from xgboost.spark import SparkXGBRegressor vec_assembler = VectorAssembler(inputCols=train_d...

Databricks

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Not able to log xgboost model to mlflow

sparkxgbregressor and RandomForestRegressor not able to deploy for inferencing

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Re: Not able to log xgboost model to mlflow

Re: sparkxgbregressor and RandomForestRegressor not able to deploy for inferencing