| Name : R-DriveML
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| Version : 0.1.2
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.28
| Date : 2024-06-14 12:14:14
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| Group : Development/Libraries/Other
| Source RPM : R-DriveML-0.1.2-lp153.1.28.src.rpm
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| Size : 3.24 MB
| |
| Packager : (none)
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| Summary : Self-Drive Machine Learning Projects
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Description :
Implementing some of the pillars of an automated machine learning
pipeline such as (i) Automated data preparation, (ii) Feature
engineering, (iii) Model building in classification context that
includes techniques such as (a) Regularised regression [1], (b)
Logistic regression [2], (c) Random Forest [3], (d) Decision tree [4]
and (e) Extreme Gradient Boosting (xgboost) [5], and finally, (iv)
Model explanation (using lift chart and partial dependency plots).
Accomplishes the above tasks by running the function instead of writing
lengthy R codes. Also provides some additional features such as
generating missing at random (MAR) variables and automated exploratory
data analysis. Moreover, function exports the model results with the
required plots in an HTML vignette report format that follows the best
practices of the industry and the academia. [1] Gonzales G B and De
Saeger (2018) < doi:10.1038/s41598-018-21851-7>, [2] Sperandei S (2014)
< doi:10.11613/BM.2014.003>, [3] Breiman L (2001)
< doi:10.1023/A:1010933404324>, [4] Kingsford C and Salzberg S (2008)
< doi:10.1038/nbt0908-1011>, [5] Chen Tianqi and Guestrin Carlos (2016)
< doi:10.1145/2939672.2939785>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
