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Hi, I've encountered a problem of serving a langchain model I just created successfully on Databricks.I was using the following code to set up a model in unity catalog:from mlflow.models import infer_signatureimport mlflowimport langchainmlflow.set_r...
I suspected the issue is coming from this small error I got: Got error: Must specify a chain Type in config. I used the chain_type="stuff" when building the langchain but I'm not sure how to fix it.
Hi there @ncparab13,- https://docs.databricks.com/aws/en/dev-tools/bundles/mlops-stacks ,- https://docs.databricks.com/aws/en/machine-learning/mlops/ci-cd-for-ml , - https://docs.databricks.com/aws/en/repos/ci-cd-techniques-with-reposHere are some li...
We were trying to inference from a logged model but had the following errorPreviously, we had been using `conda` as the environment manager, but that is no longer supported. I tried to update pyenv as some suggested but didn't get anywhere. Any insig...
I saw that Foundation Model API is not HIPAA compliant. Is there a timeline in which we could expect it to be HIPAA compliant? I work for a healthcare company with a BAA with Databricks.
It is now HIPAA compliant: Provisioned throughput endpoints are available with compliance certifications like HIPAA, Model Serving is HIPAA compliant in all regions
All,I'm trying to setup a lakehouse monitoring process for the WineQuality model that is widely available. While setting up the Serving Endpoint, I enabled "Inference Table" option for which the inference table was created automatically. The columns ...
I have a logged pyfunc mlflow model that runs without issues in a databricks notebook using "mlflow.pyfunc.load_model()". I can deploy it without issues as a model serving endpoint with "workload_type" set to GPU, but when i try to update the endpoin...
The error encountered when updating the endpoint to a CPU-only configuration could be due to several reasons related to dependency and environment configuration mismatches:
• Dependency Mismatch: The error may be related to mismatched dependencies...
I am trying to generate an OAuth token for my Azure Databricks workspace to access a model serving API in production. The code I’m using generates a token successfully, but I keep receiving a 401 error with the message "Missing authorization details ...
I managed to retrieve the access token but when i call the served endpoint i get the same error as the user above. my code is below. As for the SP in databricks workspace, it was given the manage permission on the served endpoint. Any suggestions?
Hi All,we're using the below git project to build PoC on the concept of "Patient-Level Risk Scoring Based on Condition History": https://github.com/databricks-industry-solutions/hls-patient-riskI was able to import the solution into Databricks and ru...
I'm deploying a custom model using the `mlflow.pyfunc.PythonModel` class as described here. My model uses the `params` argument in the `predict` method to allow the user to choose some aspects of the model at inference time. For example:class CustomM...
Hi, In my code I am creating a Spark session, that can be to used query the Unity Catalog delta tables.I have an MLFlow Pyfunc model that uses these table to retrieve information. Things work well from my cluster but getting below error from model se...
Hi @Alberto_Umana ,But I am not getting exception as "Exception: No SparkSession Available!" ,probably because I am installing that as part of conda environment creation. Spark session is available. Exception is "[REQUIRES_SINGLE_PART_NAMESPACE] spar...
Hi Databricks Team,We are planning a UC Migration for a customer who currently has around 500 experiments, each with multiple runs. These experiments are registered and MLflow is logging to DBFS locations. However, we have not found any documentation...
Hi @rahuja / @Djay101,
Do you have any account team contact for your Databricks subscription? I think this kind of migration requires more analysis based on your use-case. I could not find a straight-forward way to perform this migration, perhaps the...
When it comes to machine learning, the platform plays a pivotal role in successful implementation. Databricks offers a best-in-class machine learning platform with cutting-edge features such as MLflow, Model Registry, Feature Store, and MLOps, which ...
Hello everyone I am following this notebook tutorial https://docs.databricks.com/en/machine-learning/manage-model-lifecycle/index.html#example-notebook Now I can register a machine learning model in Unity Catalog, but the tutorial only shows how to u...
Hi @johndoe99012 If the answer resolved your question, please consider marking it as the solution. It helps others in the community find answers more easily.
hi, hope you are fineI deployed a model 3 or 2 months ago using Databricks Serving and MLFlow. The model worked good using GPU from model serving.I stopped using it for some months and when I tried again deploying it, it has some errors.1. [FIXED] A ...
I have registered a custom model which loads another model in the load_context method. Everything works fine when I load (with mlflow.pyfunc.load_model) and use the model in a notebook. When I try to create a serving endpoint for it I keep becoming t...
It is registered in the Unity Catalog. I have found a complete other solution now. With the help of TransformedTargetRegressor I don't need a separate normalisation step anymore and therefore don't load a model in load_context anymore.
