Side by side
MBPLS vs policytree
Both stand on statistical analysis software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan Linux
MBPLS combines several multiblock PLS algorithms with fitting, prediction, transformation, and plotting. Its Linux platform and dependency requirements should be checked before installation.
Visit MBPLS Free plan LinuxMacWindows
PolicyTree focuses on transparent policy rules and provides both exhaustive and hybrid search methods. Its exact-search scaling limits and source-build requirements should be considered for larger or customized installations.
Visit policytreeThe facts
| MBPLS | policytree | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | Linux | Linux, Mac, Windows |
| Lowest paid plan | Not published | Not published |
| Plans published | None | None |
| Maker | Not published | Not published |
| Website | mbpls.readthedocs.io | grf-labs.github.io |
| On statistical analysis software | #67 of 106 | #63 of 106 |
MBPLS: what it does well
- Free Python package
- Supports univariate and multivariate outcomes
- Offers several multiblock algorithms
- Designed to handle missing data
- Includes plotting and block-contribution measures
What to know first
- Linux platform listed
- Sparse data requires NIPALS
- Dependencies may require upgrades
policytree: what it does well
- Learns interpretable shallow decision trees
- Exhaustive search finds globally optimal specified-depth trees
- Supports deeper hybrid optimal-greedy trees
- Runs on Linux, macOS, and Windows
- Available through CRAN under the MIT license
What to know first
- Exact search does not scale to arbitrary dataset sizes
- Source installation requires a C++ compiler
- Windows source builds require Rtools
- Plotting needs optional DiagrammeR
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