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SCIKIT-LEARN USER SURVEY
This survey is being conducted by the scikit-learn survey team to ensure that scikit-learn evolves in a way that benefits its user community.
Participation in this survey is voluntary and it offers an option to remain completely anonymous.
It should take approximately 15 minutes to complete.
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For the Arabic version of the questionnaire, visit: https://forms.gle/wEbwuxPuYo2b5eod7
For the French version of the questionnaire, visit: https://forms.gle/WNXKUZqiWaWqQvt68
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For the Spanish version of the questionnaire, visit: https://forms.gle/DMN9YV7fvGLC52eD8
For the Portuguese version of the questionnaire, visit: https://forms.gle/u4aWyP6LDDM31Cqv6
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Please check the box below to indicate that you have read this statement in its entirety; that your questions about the survey have been answered to your satisfaction; and that you voluntarily agree to participate in the survey.  
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PROJECT FUTURE DIRECTION AND PRIORITIES

Thinking about scikit-learn's future, what aspects of the library would you prioritize for improvement? 
A greater numerical value signifies a greater level of priority.
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Performance
Reliability
Packaging
New features
Technical documentation
Educational materials
Website redesign
Other
Clear selection
Please expand on your answer about the priorities for scikit-learn.
What single immediate change to scikit-learn would bring the most value to you as a scikit-learn user? 
TECHNICAL QUESTIONS

PROJECT
Please order the following ML tasks in order of priority to you: (A higher number means higher priority)
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Regression
Classification
Forecasting
Outlier/anomaly detection
Dimensionality reduction
Clustering
Other
Clear selection
What visualizations do you use to evaluate your models? Select all that apply.
Which DataFrame libraries do you use? Select all that apply.
MODELING
What do you like the most about scikit-learn? 
Which other Machine Learning libraries do you use? Select all that apply.
Which estimators do you regularly use? Select all that apply.
Have you ever written your own estimator, or extended an existing scikit-learn estimator?
What ML features are important for your use case? Select all that apply.
Is there additional information you want to pass to an estimator that is not X and Y?
 If so, what kind of information would that be?
How would it benefit the model training process?[
DEPLOYMENT
Considering your current machine learning projects, how critical would GPU capabilities within scikit-learn be? (A higher number means it is very critical)
Clear selection
For model registry and experiment tracking, do you use any of the following tools? Select all that apply.
For scheduling, do you use any of the following tools? Select all that apply.
How long does a typical model training take in your ML projects?
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More than 5
How many deployed models are you (and your team) currently maintaining?
Clear selection
To what extent do you agree with the following statement?
Open source ML & AI frameworks and libraries are crucial for ensuring transparency and the reproducibility of AI research and development.
VOLUNTEER FOR INTERVIEW
Would you like to volunteer for a short conversation with the scikit-learn survey team to discuss your responses in more detail?
 If yes, please provide your email address. 
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