MLflow User Survey
About You
Tell us about yourself and optionally provide contact info so we can reach you. We'll only use your contact info to ask for clarifications, and to enter you in a raffle for an MLflow T-shirt or a Spark + AI Summit ticket.
Name [optional]
Your answer
Email [optional]
Your answer
Organization [optional]
Your answer
Role
How did you hear about MLflow?
Your answer
What is your machine learning use case?
Your answer
MLflow Features
MLflow has several components and features. You may not have used them all, but let us know which ones you find most useful or interesting.
Which MLflow components are you interested in?
Haven't looked at it
Not interested
Tried it
Use it occasionally
Use it regularly
MLflow Tracking (experiment and metric tracking)
MLflow Projects (code packaging for reproducible runs)
MLflow Models (model packaging & deployment)
Which overall MLflow use cases are most important to you?
What is your feedback on MLflow? (Take as much space as you'd like to answer about what works well and what doesn't.)
Your answer
Are there any APIs or concepts in MLflow that you think are confusing or should change for version 1.0?
Your answer
Your ML Workflow
Tell us about which tools and processes you use for machine learning so we can better support them.
Which software frameworks and services do you use for ML?
Are there specific languages, libraries or frameworks you'd like MLflow to add support for?
Your answer
How do you deploy your ML applications?
How do you monitor ML application performance in production?
Future MLflow Development
We'd like to add a number of new features in 2019. Let us know what you think about these and other ideas.
How do you think we should prioritize the following MLflow features in 2019?
Low priority
Medium priority
High priority
Model manager (a registry to organize models, name versions, etc)
Telemetry component (API to monitor metrics from deployed models)
Easier multi-step workflow support (e.g. DAG visualization, Airflow integration)
Hyperparameter search and AutoML
Manageability and scalability
Do you have any other feedback on MLflow development? (Take as much space to answer as you'd like.)
Your answer
MLflow Powered By Page
We're starting a Powered By page on the MLflow website to list organizations using MLflow. If you want to be listed, check this box, and make sure you entered an organization name.
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