- 3226 Views
- 3 replies
- 0 kudos
Error installing datasets needed for LLM course
I signed up for this course via Databricks Academy : LLMs: Application through Production However I am getting this error when trying to download the needed datasets for the course:Installing datasets:| from "wasbs://courseware@dbacademy.blob.core.wi...
- 3226 Views
- 3 replies
- 0 kudos
- 0 kudos
You would need to install the python library. You can either:1) Run %pip install datasets2) Put it as part of the PyPi packages to load in your cluster This should solve your issue
- 0 kudos
- 1238 Views
- 2 replies
- 0 kudos
AutoML split with dt column not working properly
I am using AutoML and want to split my data to train/validation and test using a dt column (one date for train one different date for validation and a third date for test. The problem that the autoML fails, there are only training metrics (no valiat...
- 1238 Views
- 2 replies
- 0 kudos
- 0 kudos
Hello! Did you try specify a column name as manual split column? Then you can fully control which rows are in train / validate / test splits: https://docs.databricks.com/en/machine-learning/automl/automl-data-preparation.html#split-data-for-regressi...
- 0 kudos
- 681 Views
- 0 replies
- 0 kudos
Why is spark mllib is not encouraged on the platform?/Why is ML dependent on .toPandas() on dbricks?
I'm new to Spark,Databricks and am surprised about how the Databricks tutorials for ML are using pandas DF > Spark DF. Of the tutorials I've seen, most data processing is done in a distributed manner but then its just cast to a pandas dataframe. From...
- 681 Views
- 0 replies
- 0 kudos
- 719 Views
- 0 replies
- 0 kudos
FeatureEngineeringClient and Unity Catalog
When testing this code ( fe.score_batch( df=dataset.drop("Target").limit(10), model_uri=f"models:/{model_name}/{mv.version}", ) .select("prediction") .limit(10) .display() ) I get the error: “MlflowException: The...
- 719 Views
- 0 replies
- 0 kudos
- 969 Views
- 0 replies
- 0 kudos
Feature tables & Null Values
Hi!I was wondering if any of you has ever dealt with Feature tables and null values (more specifically, via feature engineering objects, rather than feature store, although I don't think it really matters).In brief, null values are allowed to be stor...
- 969 Views
- 0 replies
- 0 kudos
- 2258 Views
- 3 replies
- 0 kudos
Error using score_batch for batch inference
Hey everybody,I have been learning to use the Databricks feature store and I was trying to train the model using the stored features and compute batch inference. I am getting an error though, running prediction using score_batch, I have been getting ...
- 2258 Views
- 3 replies
- 0 kudos
- 0 kudos
Hey @Kumaran, I am using a Random forest classifier however I have tried to set the max depth to none since it is the default value but the error still exists.
- 0 kudos
- 647 Views
- 0 replies
- 0 kudos
ModuleNotFoundError: No module named 'model_train' when using mlflow.sklearn.load_model
Hello,I have multiple versions of a model registered in model registry. When I am trying to load any other version except model version 1 by mlflow.sklearn.load_model(f"models:/{model_name}/{model_version}")I am getting ModuleNotFoundError: No module...
- 647 Views
- 0 replies
- 0 kudos
- 427 Views
- 0 replies
- 0 kudos
Serving Endpoint Container Image Creation Fails
Hello, yesterday I send this message but I guess some AI flagging tool or non-technical moderator thought error logs are spam so no one could see my message. Thus, I am restating my problem without error logs this time.Essentially, after I train my m...
- 427 Views
- 0 replies
- 0 kudos
- 572 Views
- 0 replies
- 0 kudos
DAB - Add/remove task depending on workspace.
I use DAB for deploying Jobs, I want to add a specific Task in dev only but not in staging or prod. Is there any way to achieve this using DAB ?
- 572 Views
- 0 replies
- 0 kudos
- 778 Views
- 2 replies
- 0 kudos
TrainingSet schema difference during training and inference
Hi,I'm using the Feature Store to train an ml model and log it using MLflow and FeatureStoreClient(). This model is then used for inference.I understand the schema of the TrainingSet should not differ between training time and inference time. However...
- 778 Views
- 2 replies
- 0 kudos
- 0 kudos
Hi @Quinten,You can consider creating a custom feature group to store the "weight" column during training. This way, you can keep the schema of the TrainingSet consistent between training and inference time.Here are the steps you can follow:Create a...
- 0 kudos
- 774 Views
- 2 replies
- 0 kudos
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 rankhere is my code to prepare the dataset:fe_data = fe.crea...
- 774 Views
- 2 replies
- 0 kudos
- 0 kudos
@KumaranT I did it already with the same result import mlflow.pyfunc # Load the model as a PyFuncModel model = mlflow.pyfunc.load_model(model_uri=f"{model_version_uri}") # Create a Spark UDF for scoring predict_udf = mlflow.pyfunc.spark_udf(spark, ...
- 0 kudos
- 1238 Views
- 1 replies
- 0 kudos
Issues with experiment errors over the last two weeks
Hi,I use Azure Databricks in the North Central US region and have had some issues over the last two weeks. Three weeks ago, I was able to run a forecast experiment. Last week I got this error on 7/24:[UNRESOLVED_COLUMN.WITH_SUGGESTION] A column, va...
- 1238 Views
- 1 replies
- 0 kudos
- 1940 Views
- 1 replies
- 0 kudos
Received Fatal error: The Python kernel is unresponsive.
I am running a databricks job on a cluster and I keep running into the following issue (pasted below in bold) The job trains a machine learning model on a modestly sized dataset (~ half GB). Note that I use pandas dataframes for the data, sklearn for...
- 1940 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @HappyScientist,Can you increase the memory size of your cluster and try again?
- 0 kudos
- 694 Views
- 1 replies
- 0 kudos
AutoML workflows will no longer run with job compute
We have a few workflows that have been running fine with job compute (runtime 14x). They started failing on 6/3 with the following error: The cluster [xxx] is not an all-purpose cluster. existing_cluster_id only supports all-purpose cluster IDs. I w...
- 694 Views
- 1 replies
- 0 kudos
- 0 kudos
Hi @c3,We can see this Automl issue got fixed, can you check whether you are getting the same issue?
- 0 kudos
- 922 Views
- 1 replies
- 0 kudos
Error - Langchain to interact with a SQL database
I am using databricks community edition to use langchain on SQL database in databricks.I am following this link: Interact with SQL database - DatabricksBut I am facing issue on this line: db = SQLDatabase.from_databricks(catalog="samples", schema="ny...
- 922 Views
- 1 replies
- 0 kudos
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