FeatureEngineeringClient failing to run inference with mlflow.spark flavor
I am using Databricks FeatureEngineeringClient to log my spark.ml model for batch inference. I use the ALS model on the movielens dataset. My dataset has three columns: user_id, item_id and rank.
FeatureEngineeringClient failing to run inference with mlflow.spark flavor
I am using Databricks FeatureEngineeringClient to log my spark.ml model for batch inference. I use the ALS model on the movielens dataset. My dataset has three columns: user_id, item_id and rank.
FeatureEngineeringClient failing to run inference with mlflow.spark flavor
I am using Databricks FeatureEngineeringClient to log my spark.ml model for batch inference. I use the ALS model on the movielens dataset. My dataset has three columns: user_id, item_id and rank.
FeatureEngineeringClient failing to run inference with mlflow.spark flavor
I am using Databricks FeatureEngineeringClient to log my spark.ml model for batch inference. I use the ALS model on the movielens dataset. My dataset has three columns: user_id, item_id and rank.
FeatureEngineeringClient failing to run inference with mlflow.spark flavor
I am using Databricks FeatureEngineeringClient to log my spark.ml model for batch inference. I use the ALS model on the movielens dataset. My dataset has three columns: user_id, item_id and rank.