- 3986 Views
- 3 replies
- 1 kudos
InvalidConfigurationError: You haven't configured the CLI yet! Please configure by entering ...
Running a python function in the notebook, i am getting the following InvalidConfigurationError: You haven't configured the CLI yet! Please configure by entering `/databricks/python_shell/scripts/db_ipykernel_launcher.py configure`When i try to run...
- 3986 Views
- 3 replies
- 1 kudos
- 1 kudos
Facing the same issuefor me the error comes up when mlflow.get_experiment_by_name is called.I am running a custom docker image built on databricksruntime/standard:13.3-LTScustom image so my packages are installed.
- 1 kudos
- 636 Views
- 1 replies
- 0 kudos
Unable to configure compute of cloned job
If I clone an existing job without making any changes, I am able to reconfigure the compute successfully. If I remove or add a spark environment variable to test modifications, such as using secrets for example, and I confirm the changes to the job, ...
- 636 Views
- 1 replies
- 0 kudos

- 0 kudos
Hi @Marvin Ginns​ Great to meet you, and thanks for your question! Let's see if your peers in the community have an answer to your question. Thanks.
- 0 kudos
- 2794 Views
- 3 replies
- 0 kudos
Not able to configure cluster settings instance type using mlflow api 2.0 to enable model serving.
I'm able to enable model serving by using the mlflow api 2.0 with the following code...instance = f'https://{workspace}.cloud.databricks.com' headers = {'Authorization': f'Bearer {api_workflow_access_token}'} # Enable Model Serving import request...
- 2794 Views
- 3 replies
- 0 kudos

- 0 kudos
Hi @Shane Piesik​ Thank you for your question! To assist you better, please take a moment to review the answer and let me know if it best fits your needs.Please help us select the best solution by clicking on "Select As Best" if it does.Your feedback...
- 0 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
32 -
AWS
7 -
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 -
Chatgpt
2 -
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
24 -
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
52 -
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
1 -
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
3 -
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
13 -
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 »