- 8780 Views
- 2 replies
- 1 kudos
Resolved! Model serving Ran out of memory
Hi fellows, I encountered memory(?) error when sending POST requests to my real-time endpoint, and I'm unable to find hardware setting to increase memory, as suggested by the Service Logs (below). Steps to Repro:(1) I registered a custom MLFlow model...
- 8780 Views
- 2 replies
- 1 kudos
- 1 kudos
Thank you for your responses, @Annapurna_Hiriy and @Retired_modIndeed, it appeared that my original model (~800MB) was too big for the current server. Based on your suggestion, I made a simpler/smaller model for this project, and then I was able to d...
- 1 kudos
- 3434 Views
- 0 replies
- 0 kudos
Getting started with lakehouse monitoring
Watch Youtube video : https://www.youtube.com/watch?v=U9ctDgoVDIc
- 3434 Views
- 0 replies
- 0 kudos
- 5983 Views
- 3 replies
- 2 kudos
Resolved! Hello Community Users, Â We recently announced a new Large Language Models (LLM) program, the first of its kind on edX! Learn how to develop production...
Hello Community Users, We recently announced a new Large Language Models (LLM) program, the first of its kind on edX! Learn how to develop production-ready LLM applications and dive into the theory behind foundation models. Taught by industry experts...
- 5983 Views
- 3 replies
- 2 kudos
- 2 kudos
Hi @163050 You could download the Dbc file from the course, we already have the LLM course in the Customer Academy.
- 2 kudos
- 7610 Views
- 1 replies
- 1 kudos
sklearn logistic regression restarting kernel
Hello,I am trying to create a simple logistic regression model to test for the impact of PCA on my dataset. I'm getting the error in the attachment.It feels to me like a version mismatching - but I'm using a fresh cluster with no additional packages ...
- 7610 Views
- 1 replies
- 1 kudos
- 1 kudos
Sorry for the long delay - holiday & work activities stopped from me progressing this issue. The error was actually an OOM error - fixed by configuring cluster sizes appropriately.
- 1 kudos
- 12473 Views
- 2 replies
- 0 kudos
Databricks ML Professional Certification exam got suspended due to technical issue
Hi Team,I was taking online exam for Databricks Machine Learning Professional exam on 22nd September,2023(16:15 Asia/Calcutta), the exam first got suspended due to proctoring issue and was rescheduled by the proctor in the next 30 mins, then the exam...
- 12473 Views
- 2 replies
- 0 kudos
- 0 kudos
@Soumyajeet_das Thank you for filing a ticket through support! The team is working on it. Thank you for your patience.
- 0 kudos
- 4520 Views
- 0 replies
- 0 kudos
How to allocate more memory to GPU when training through databricks notebook
I am trying to train a Hubert Model, specifically the facebook/hubert-base-ls960 model on a custom speech dataset.Training parameters are below:trainer_config = { "OUTPUT_DIR": "results", "TRAIN_EPOCHS": 6, "TRAIN_BATCH_SIZE": 2, "EVAL_BATCH_SIZE...
- 4520 Views
- 0 replies
- 0 kudos
- 8238 Views
- 2 replies
- 2 kudos
Resolved! Enabling vector search in the workspace
Hi,I'm testing out LLM/RAG Databricks demo here: https://notebooks.databricks.com/demos/llm-rag-chatbot/index.html?_gl=1*1nj8hq2*_gcl_au*MTcxOTY0MDY4LjE2OTQ2MzgwNDU.# As part of the demo, I'm trying to create a vector search with the line below. vsc....
- 8238 Views
- 2 replies
- 2 kudos
- 2 kudos
Hi @m12, Thank you for posting your question in the Databricks community. The vector search feature is currently undergoing a private preview. If you wish to participate, kindly complete the form provided below for onboarding. https://docs.google.com...
- 2 kudos
- 11070 Views
- 0 replies
- 0 kudos
MLFlow Error
On running https://www.databricks.com/notebooks/mlops/deploy_azure_ml_model_.htmlAt the build docker image step, mlflow.azureml.build_imageI faced an error ''TypeError: join() argument must be str, bytes, or os.PathLike object, not 'dict''' .The mode...
- 11070 Views
- 0 replies
- 0 kudos
- 5506 Views
- 1 replies
- 0 kudos
Mlflow Import error
I am trying to deploy the latest mlFlow registry Model to Azure ML by following the article: https://www.databricks.com/notebooks/mlops/deploy_azure_ml_model_.htmlBut during the import process at cmd:6 . I am getting an error ModulenotFoundError No m...
- 5506 Views
- 1 replies
- 0 kudos
- 0 kudos
@Retired_mod Thank you, that solved the issue.But on proceeding with the execution, at the build image step, I faced another issue.''TypeError: join() argument must be str, bytes, or os.PathLike object, not 'dict''' .The model is registered successfu...
- 0 kudos
- 2640 Views
- 0 replies
- 0 kudos
MLFlow Recipes + Feature Store
Hi everyone,I am currently exploring MLFlow recipes, is there someone here who has already tried implementing MLFlow Recipes along with Databricks Feature Store? I am curious as to how you somehow defined the ingestion steps since I am unable to thin...
- 2640 Views
- 0 replies
- 0 kudos
- 4097 Views
- 1 replies
- 0 kudos
Creating or using a custom defined model with SpaCy
I want to train and use a custom model with spaCy. I don't know how to manage and create folders that the model would be need to save and load custom models and associated files (e.g. from DBFS)It should be something like this but it doesn't accept...
- 4097 Views
- 1 replies
- 0 kudos
- 4395 Views
- 0 replies
- 0 kudos
Data
To import an Excel file into Databricks, you can follow these general steps: 1. **Upload the Excel File**: - Go to the Databricks workspace or cluster where you want to work. - Navigate to the location where you want to upload the Excel file. - Click...
- 4395 Views
- 0 replies
- 0 kudos
- 2565 Views
- 1 replies
- 0 kudos
StackOverflow Error - FeatureLookup & fs.create_training_set
When trying to utilize feature_lookup on at least 2 feature tables and trying fs.create_training_set, I get a stackoverflow error. Can anyone help me understand why this happens? This hasn't happened before but now I get this error and I am unable to...
- 2565 Views
- 1 replies
- 0 kudos
- 4436 Views
- 2 replies
- 9 kudos
How to get list of all the tabular models in a Analysis server using databricks ?
Hello community, I want to fetch the list of all the tabular models (if possible details about those models too) which are there in a SQL Analysis server using databricks. Can anyone help me out ?Use case: I want to process clear a large number of mo...
- 4436 Views
- 2 replies
- 9 kudos
- 9 kudos
Did you try Azure Analysis Services Rest API?
- 9 kudos
- 7816 Views
- 5 replies
- 5 kudos
Does FeatureStoreClient().score_batch support multidimentional predictions?
I have a pyfunc model that I can use to get predictions. It takes time series data with context information at each date, and produces a string of predictions. For example:The data is set up like below (temp/pressure/output are different than my inpu...
- 7816 Views
- 5 replies
- 5 kudos
- 5 kudos
I have the same question. I've decided to look for alternative Feature Stores as this makes it very difficult to use for time series forecasting.
- 5 kudos
-
Access control
3 -
Access Data
2 -
AccessKeyVault
1 -
ADB
2 -
Airflow
1 -
Amazon
2 -
Apache
1 -
Apache spark
3 -
APILimit
1 -
Artifacts
1 -
Audit
1 -
Autoloader
6 -
Autologging
2 -
Automation
2 -
Automl
45 -
Aws databricks
1 -
AWSSagemaker
1 -
Azure
32 -
Azure active directory
1 -
Azure blob storage
2 -
Azure data lake
1 -
Azure Data Lake Storage
3 -
Azure data lake store
1 -
Azure databricks
32 -
Azure event hub
1 -
Azure key vault
1 -
Azure sql database
1 -
Azure Storage
2 -
Azure synapse
1 -
Azure Unity Catalog
1 -
Azure vm
1 -
AzureML
2 -
Bar
1 -
Beta
1 -
Better Way
1 -
BI Integrations
1 -
BI Tool
1 -
Billing and Cost Management
1 -
Blob
1 -
Blog
1 -
Blog Post
1 -
Broadcast variable
1 -
Business Intelligence
1 -
CatalogDDL
1 -
Centralized Model Registry
1 -
Certification
2 -
Certification Badge
1 -
Change
1 -
Change Logs
1 -
Check
2 -
Classification Model
1 -
Cloud Storage
1 -
Cluster
10 -
Cluster policy
1 -
Cluster Start
1 -
Cluster Termination
2 -
Clustering
1 -
ClusterMemory
1 -
CNN HOF
1 -
Column names
1 -
Community Edition
1 -
Community Edition Password
1 -
Community Members
1 -
Company Email
1 -
Condition
1 -
Config
1 -
Configure
3 -
Confluent Cloud
1 -
Container
2 -
ContainerServices
1 -
Control Plane
1 -
ControlPlane
1 -
Copy
1 -
Copy into
2 -
CosmosDB
1 -
Courses
2 -
Csv files
1 -
Dashboards
1 -
Data
8 -
Data Engineer Associate
1 -
Data Engineer Certification
1 -
Data Explorer
1 -
Data Ingestion
2 -
Data Ingestion & connectivity
11 -
Data Quality
1 -
Data Quality Checks
1 -
Data Science & Engineering
2 -
databricks
5 -
Databricks Academy
3 -
Databricks Account
1 -
Databricks AutoML
9 -
Databricks Cluster
3 -
Databricks Community
5 -
Databricks community edition
4 -
Databricks connect
1 -
Databricks dbfs
1 -
Databricks Feature Store
1 -
Databricks Job
1 -
Databricks Lakehouse
1 -
Databricks Mlflow
4 -
Databricks Model
2 -
Databricks notebook
10 -
Databricks ODBC
1 -
Databricks Platform
1 -
Databricks Pyspark
1 -
Databricks Python Notebook
1 -
Databricks Runtime
9 -
Databricks SQL
8 -
Databricks SQL Permission Problems
1 -
Databricks Terraform
1 -
Databricks Training
2 -
Databricks Unity Catalog
1 -
Databricks V2
1 -
Databricks version
1 -
Databricks Workflow
2 -
Databricks Workflows
1 -
Databricks workspace
2 -
Databricks-connect
1 -
DatabricksContainer
1 -
DatabricksML
6 -
Dataframe
3 -
DataSharing
1 -
Datatype
1 -
DataVersioning
1 -
Date Column
1 -
Dateadd
1 -
DB Notebook
1 -
DB Runtime
1 -
DBFS
5 -
DBFS Rest Api
1 -
Dbt
1 -
Dbu
1 -
DDL
1 -
DDP
1 -
Dear Community
1 -
DecisionTree
1 -
Deep learning
4 -
Default Location
1 -
Delete
1 -
Delt Lake
4 -
Delta lake table
1 -
Delta Live
1 -
Delta Live Tables
6 -
Delta log
1 -
Delta Sharing
3 -
Delta-lake
1 -
Deploy
1 -
DESC
1 -
Details
1 -
Dev
1 -
DevOps
1 -
Df
1 -
Different Notebook
1 -
Different Parameters
1 -
DimensionTables
1 -
Directory
3 -
Disable
1 -
Distribution
1 -
DLT
6 -
DLT Pipeline
3 -
Dolly
5 -
Dolly Demo
2 -
Download
2 -
EC2
1 -
Emr
2 -
Ensemble Models
1 -
Environment Variable
1 -
Epoch
1 -
Error handling
1 -
Error log
2 -
Eventhub
1 -
Example
1 -
Experiments
4 -
External Sources
1 -
Extract
1 -
Fact Tables
1 -
Failure
2 -
Feature Lookup
2 -
Feature Store
62 -
Feature Store API
2 -
Feature Store Table
1 -
Feature Table
6 -
Feature Tables
4 -
Features
2 -
FeatureStore
2 -
File Path
2 -
File Size
1 -
Fine Tune Spark Jobs
1 -
Forecasting
2 -
Forgot Password
2 -
Garbage Collection
1 -
Garbage Collection Optimization
1 -
Github
2 -
Github actions
2 -
Github Repo
2 -
Gitlab
1 -
GKE
1 -
Global Init Script
1 -
Global init scripts
4 -
Governance
1 -
Hi
1 -
Horovod
1 -
Html
1 -
Hyperopt
4 -
Hyperparameter Tuning
2 -
Iam
1 -
Image
3 -
Image Data
1 -
Inference Setup Error
1 -
INFORMATION
1 -
Input
1 -
Insert
1 -
Instance Profile
1 -
Int
2 -
Interactive cluster
1 -
Internal error
1 -
Invalid Type Code
1 -
IP
1 -
Ipython
1 -
Ipywidgets
1 -
JDBC Connections
1 -
Jira
1 -
Job
4 -
Job Parameters
1 -
Job Runs
1 -
Join
1 -
Jsonfile
1 -
Kafka consumer
1 -
Key Management
1 -
Kinesis
1 -
Lakehouse
1 -
Large Datasets
1 -
Latest Version
1 -
Learning
1 -
Limit
3 -
LLM
3 -
LLMs
3 -
Local computer
1 -
Local Machine
1 -
Log Model
2 -
Logging
1 -
Login
1 -
Logs
1 -
Long Time
2 -
Low Latency APIs
2 -
LTS ML
3 -
Machine
3 -
Machine Learning
24 -
Machine Learning Associate
1 -
Managed Table
1 -
Max Retries
1 -
Maximum Number
1 -
Medallion Architecture
1 -
Memory
3 -
Metadata
1 -
Metrics
3 -
Microsoft azure
1 -
ML Lifecycle
4 -
ML Model
4 -
ML Practioner
3 -
ML Runtime
1 -
MlFlow
75 -
MLflow API
5 -
MLflow Artifacts
2 -
MLflow Experiment
6 -
MLflow Experiments
3 -
Mlflow Model
10 -
Mlflow registry
3 -
Mlflow Run
1 -
Mlflow Server
5 -
MLFlow Tracking Server
3 -
MLModels
2 -
Model Deployment
4 -
Model Lifecycle
6 -
Model Loading
2 -
Model Monitoring
1 -
Model registry
5 -
Model Serving
30 -
Model Serving Cluster
2 -
Model Serving REST API
6 -
Model Training
2 -
Model Tuning
1 -
Models
8 -
Module
3 -
Modulenotfounderror
1 -
MongoDB
1 -
Mount Point
1 -
Mounts
1 -
Multi
1 -
Multiline
1 -
Multiple users
1 -
Nested
1 -
New Feature
1 -
New Features
1 -
New Workspace
1 -
Nlp
3 -
Note
1 -
Notebook
6 -
Notification
2 -
Object
3 -
Onboarding
1 -
Online Feature Store Table
1 -
OOM Error
1 -
Open Source MLflow
4 -
Optimization
2 -
Optimize Command
1 -
OSS
3 -
Overwatch
1 -
Overwrite
2 -
Packages
2 -
Pandas udf
4 -
Pandas_udf
1 -
Parallel
1 -
Parallel processing
1 -
Parallel Runs
1 -
Parallelism
1 -
Parameter
2 -
PARAMETER VALUE
2 -
Partner Academy
1 -
Pending State
2 -
Performance Tuning
1 -
Photon Engine
1 -
Pickle
1 -
Pickle Files
2 -
Pip
2 -
Points
1 -
Possible
1 -
Postgres
1 -
Pricing
2 -
Primary Key
1 -
Primary Key Constraint
1 -
Progress bar
2 -
Proven Practices
2 -
Public
2 -
Pymc3 Models
2 -
PyPI
1 -
Pyspark
6 -
Python
21 -
Python API
1 -
Python Code
1 -
Python Function
3 -
Python Libraries
1 -
Python Packages
1 -
Python Project
1 -
Pytorch
3 -
Reading-excel
2 -
Redis
2 -
Region
1 -
Remote RPC Client
1 -
RESTAPI
1 -
Result
1 -
Runtime update
1 -
Sagemaker
1 -
Salesforce
1 -
SAP
1 -
Scalability
1 -
Scalable Machine
2 -
Schema evolution
1 -
Script
1 -
Search
1 -
Security
2 -
Security Exception
1 -
Self Service Notebooks
1 -
Server
1 -
Serverless
1 -
Serving
1 -
Shap
2 -
Size
1 -
Sklearn
1 -
Slow
1 -
Small Scale Experimentation
1 -
Source Table
1 -
Spark config
1 -
Spark connector
1 -
Spark Error
1 -
Spark MLlib
2 -
Spark Pandas Api
1 -
Spark ui
1 -
Spark Version
2 -
Spark-submit
1 -
SparkML Models
2 -
Sparknlp
3 -
Spot
1 -
SQL
19 -
SQL Editor
1 -
SQL Queries
1 -
SQL Visualizations
1 -
Stage failure
2 -
Storage
3 -
Stream
2 -
Stream Data
1 -
Structtype
1 -
Structured streaming
2 -
Study Material
1 -
Summit23
2 -
Support
1 -
Support Team
1 -
Synapse
1 -
Synapse ML
1 -
Table
4 -
Table access control
1 -
Tableau
1 -
Task
1 -
Temporary View
1 -
Tensor flow
1 -
Test
1 -
Timeseries
1 -
Timestamps
1 -
TODAY
1 -
Training
6 -
Transaction Log
1 -
Trying
1 -
Tuning
2 -
UAT
1 -
Ui
1 -
Unexpected Error
1 -
Unity Catalog
12 -
Use Case
2 -
Use cases
1 -
Uuid
1 -
Validate ML Model
2 -
Values
1 -
Variable
1 -
Vector
1 -
Versioncontrol
1 -
Visualization
2 -
Web App Azure Databricks
1 -
Weekly Release Notes
2 -
Whl
1 -
Worker Nodes
1 -
Workflow
2 -
Workflow Jobs
1 -
Workspace
2 -
Write
1 -
Writing
1 -
Z-ordering
1 -
Zorder
1
- « Previous
- Next »
| User | Count |
|---|---|
| 90 | |
| 42 | |
| 38 | |
| 29 | |
| 25 |