- 6274 Views
- 2 replies
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Isolation Forest prediction failing DLT pipeline, the same model works fine when prediction is done outside DLT pipeline.
Hey community membersI am new to Databricks and was building a simple DLT pipleine that loads data from S3 and runs an Isolation forest prediction to detect anomalies. The model has been stored in Model Registry. Here's the code for the pipeline:@dlt...
- 6274 Views
- 2 replies
- 1 kudos
- 1 kudos
Hi @Mukul Degweker​ Hope all is well! Just wanted to check in if you were able to resolve your issue and would you be happy to share the solution or mark an answer as best? Else please let us know if you need more help. We'd love to hear from you.Tha...
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- 976 Views
- 0 replies
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PYSPARK - Can't run DecisionTreeClassifier everytime
Hello community,It's my first time here and i have a poor english so sorry for the mistakes I want to make a decision tree in pyspark on a training data (then i would like to evaluate it on a testing data). My target is a variable with 2 values ("one...
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- 1806 Views
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Resolved! Failure in mlflow.spark.load_model : Random Forrest pretrained model
model = mlflow.spark.load_model(model_uri=f"models:/{model_name}/{model_version}")Log:An error occurred while calling o2861.load.: org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 4599.0 failed 4 times, most recent f...
- 1806 Views
- 2 replies
- 2 kudos
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Hi @Ashraf Khan​ Did you get a chance to look into Sean's response. Please let us know if you need more help on this.
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- 1501 Views
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The model is always stuck in pending state, while the serving status says ready.
I am serving a logistic regression model, and I keep getting this error. The issue tends to happen as more data is being modeled, but no matter how much I increase the serving cluster memory, it still error. Here is the stack trace:22/06/14 15:24:47 ...
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- 0 replies
- 1 kudos