hyperimpute
featuretools
| hyperimpute | featuretools | |
|---|---|---|
| 3 | 2 | |
| 134 | 7,064 | |
| 0.0% | 0.9% | |
| 3.5 | 8.3 | |
| about 1 year ago | 4 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
hyperimpute
- HyperImpute: A tool for prototyping and benchmarking data imputation methods
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[P] AutoPrognosis - A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
AutoPrognosis is an AutoML library for tabular data focused on survival analysis or classification tasks. The library can select optimal prediction pipelines for a given dataset and a task type and can handle data missingness using HyperImpute.
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[P] HyperImpute: sklearn-style library for handling missing data using novel algorithms
Github page: https://github.com/vanderschaarlab/hyperimpute
featuretools
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