by
missyT
• New Contributor III
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I am looking to create a basic virtual assistant (AI) that implements machine learning mechanisms.I have some basic knowledge of Python and I have seen some courses on the internet (youtube in particular) that look very interesting.But for the moment...
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- 3 replies
- 4 kudos
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Hey everyone!I'm clearly excited about this topic since I'm a huge fan of AI assistants and machine learning. MissyT, creating a basic virtual assistant with machine learning capabilities is an excellent idea! With your simple knowledge of Python and...
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Is it possible to deploy the mlflow model to a sagemaker endpoint where the image URL is not referring to an image in ECR but the image is actually present in a private docker registry?
- 3372 Views
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Atanu
Databricks Employee
@Saurabh Verma , this to create the endpoint.also, check this out - https://github.com/mlflow/mlflow/blob/0fa849ad75e5733bf76cc14a4455657c5c32f107/mlflow/sagemaker/__init__.py#L361
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Can an mlflow registered model automatically infer the online feature store table, if that model is trained and logged via a databricks feature store table and the table is pushed to an online feature store (like AWS RDS)?
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Atanu
Databricks Employee
@Saurabh Verma let us know if you need further help on this! Thanks.
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by
Dunken
• New Contributor III
- 4453 Views
- 7 replies
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I would like to use Databricks in a CD4ML way (see also https://martinfowler.com/articles/cd4ml.html). Is this possible? I would like to develop and train models in one environment once qualified, I would like to deploy the model with the application...
- 4453 Views
- 7 replies
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Atanu
Databricks Employee
something below you are looking for @Armin Galliker ?
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- 3132 Views
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Hi Guys. I've implemented a Machine Learning model on Databricks and have registered it with a Model URL. I wanted to enquire if I could use this model on Power BI. Basically the model predicts industries based on client demographics. Ideally I would...
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Thank you @Werner Stinckens and @Joseph Kambourakis for your replies.
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- 27534 Views
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I wanted to deploy a registered model present in databricks managed MLFlow to a sagemaker via databricks notebook?As of now, it is not able to run mlflow sagemaker build-and-push container command directly. What all configurations or steps needed to ...
- 27534 Views
- 9 replies
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@Saurabh Verma Please try!import mlflow.sagemaker as mfs
sys.stdout.fileno = lambda: 0
mfs.run_local(model_uri=model_uri,port=8000,image="test")
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- 5228 Views
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How to deploy real-time model on databricks at scale? Right now, The model serving is very limited to 20 requests per second. Also, There are no model monitoring framework/graphs like the one's provided with AzureML or Sagemaker frameworks.
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I believe the next update to serving will include 1, not 2 (this is still within a Databricks workspace in a region). I don't think multi-model endpoints are on the roadmap next.How does Airflow integration relate?
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