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Package: randomMachines | ||
Type: Package | ||
Title: An Ensemble Modeling using Random Machines | ||
Version: 0.1.0 | ||
Authors@R: c(person("Mateus", "Maia", email = "mateus.maiamarques.2021@mumail.ie", role = c("aut","cre"), comment = c(ORCID = "0000-0001-7056-386X")), | ||
person("Anderson", "Ara", email = "ara@ufpr.br", role = c("cte"), comment = c(ORCID = "0000-0002-1041-2768")), | ||
person("Gabriel", "Ribeiro", email = "brielribeiro08@gmail.com", role = c("cte"))) | ||
Description: A novel ensemble method employing Support Vector Machines (SVMs) as base learners. This powerful ensemble model is designed for both classification (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et. al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility and robust performance across different datasets and compared with other consolidated methods as Random Forests (Maia M, et. al, 2021) <doi:10.6339/21-JDS1025>. | ||
License: MIT + file LICENSE | ||
Encoding: UTF-8 | ||
LazyData: true | ||
RoxygenNote: 7.2.3 | ||
Imports: kernlab, methods, stats | ||
Depends: R (>= 2.10) | ||
Suggests: | ||
NeedsCompilation: no | ||
Packaged: 2023-12-14 14:52:32 UTC; mateusmaia | ||
Author: Mateus Maia [aut, cre] (<https://orcid.org/0000-0001-7056-386X>), | ||
Anderson Ara [cte] (<https://orcid.org/0000-0002-1041-2768>), | ||
Gabriel Ribeiro [cte] | ||
Maintainer: Mateus Maia <mateus.maiamarques.2021@mumail.ie> | ||
Repository: CRAN | ||
Date/Publication: 2023-12-14 16:40:05 UTC |
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YEAR: 2023 | ||
COPYRIGHT HOLDER: rmachines authors |
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359af323b84a5bba5141adbfaffb0ad5 *DESCRIPTION | ||
27dba37f9cf961626c759a0b5c4a59f0 *LICENSE | ||
0169c943bfe6f8cb1c9cacf78d711f43 *NAMESPACE | ||
1329df4da2010e05efc02988add45add *R/main_functions.R | ||
7ba9d94fe8031c2ba86d0b192cc65bb2 *R/simulation_examples.R | ||
62203b5bf6ad6fe7075b1327f9a122dc *README.md | ||
38e08f8b30ab67b6479add2c72a004b0 *data/bolsafam.rda | ||
5ab6ddfaca9d1acb022c07fb4ec1a698 *data/ionosphere.rda | ||
999b67c9a1189c293a2a64e26c50c66e *data/whosale.rda | ||
793f928b2e5f95025d93611837471458 *man/RMSE.Rd | ||
4f3df6770855052986565c375d16742a *man/bolsafam.Rd | ||
93ddf64c2d778fbc8a5dc4f5c17469df *man/brier_score.Rd | ||
cf2f574720b2ace9ea57cc24a3041872 *man/ionosphere.Rd | ||
a15ea670a05d2b3aa241781432dc1587 *man/predict.rm_class.Rd | ||
a118ce227b1955dcf07d16e976f14287 *man/predict.rm_reg.Rd | ||
5117b00541fb7478f969ed60237c7aef *man/randomMachines.Rd | ||
e19c02af8b371aacf71136d236a4b2ea *man/rm_class-class.Rd | ||
808c5e9041ed3f3bda9f96874cc01525 *man/rm_reg-class.Rd | ||
bb44ad36b8487b7402a9a5634587919d *man/sim_class.Rd | ||
d590a57352a859255f74d91eec75f862 *man/sim_reg1.Rd | ||
53f8156fa0b30ed6c94985a196f34223 *man/sim_reg2.Rd | ||
047b004f4c8da802f311f095ae4a4265 *man/sim_reg3.Rd | ||
3aadc50072fa34dd530ced916964ede7 *man/sim_reg4.Rd | ||
0d0a772dc18890749c631c5ad5f71c80 *man/sim_reg5.Rd | ||
a9eeaa6dbfcc7646d85e6a55f81fe107 *man/whosale.Rd |
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# Generated by roxygen2: do not edit by hand | ||
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S3method(predict,rm_class) | ||
S3method(predict,rm_reg) | ||
export(RMSE) | ||
export(brier_score) | ||
export(randomMachines) | ||
export(sim_class) | ||
export(sim_reg1) | ||
export(sim_reg2) | ||
export(sim_reg3) | ||
export(sim_reg4) | ||
export(sim_reg5) | ||
importFrom(methods,new) | ||
importMethodsFrom(kernlab,predict) |
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