PML: A parallel machine learning toolbox for data classification and regression

被引：0

作者：

Jing, Runyu ^{[1
]}

Sun, Jing ^{[1
]}

Wang, Yuelong ^{[1
]}

Li, Menglong ^{[1
]}

Pu, Xuemei ^{[1
]}

机构：

[1] College of Chemistry, Sichuan University, Chengdu 610064, China

来源：

Chemometrics and Intelligent Laboratory Systems | 2014年 / 138卷

关键词：

Data mining;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Motivated by timesaving when dealing with the large-scale calculation for data modeling in parallel with multiple CPU cores or machines and result comparison, PML was designed in this study. PML has the ability to do dimension reduction and grid search in parallel, support both classification and regression, and could generate HTML pages as output for results comparison. Written in PERL, PML is compatible with Windows and Linux. This open source software is free available together with the code, manual, examples and license from http://cic.scu.edu.cn/pml or https://github.com/limlcic/PML. © 2014 Elsevier B.V.

引用

页码：1 / 6

共 50 条

[1] PML: A parallel machine learning toolbox for data classification and regression
Jing, Runyu
Sun, Jing
Wang, Yuelong
Li, Menglong
Pu, Xuemei
[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 2014, 138 : 1 - 6
[2] PML: A parallel machine learning toolbox for data classification and regression
Jing, Runyu
Sun, Jing
Wang, Yuelong
Li, Menglong
Pu, Xuemei
[J]. Chemometrics and Intelligent Laboratory Systems, 2014, 138 : 1 - 6
[3] Data Provenance Based System for Classification and Linear Regression in Distributed Machine Learning
Khan, Muhammad Jahanzeb
Wang, Ruoyu
Sun, Daniel
Li, Guoqiang
[J]. STRUCTURED OBJECT-ORIENTED FORMAL LANGUAGE AND METHOD (SOFL+MSVL 2019), 2020, 12028 : 279 - 295
[4] Review of Machine Learning Classifier Toolbox of Neuroimaging Data
Lad, Rashmi
Metkewar, P. S.
[J]. 2020 IEEE PUNE SECTION INTERNATIONAL CONFERENCE (PUNECON), 2020, : 175 - 179
[5] Functional extreme learning machine for regression and classification
Liu, Xianli
Zhou, Yongquan
Meng, Weiping
Luo, Qifang
[J]. MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (02) : 3768 - 3792
[6] Extreme Learning Machine for Regression and Multiclass Classification
Huang, Guang-Bin
Zhou, Hongming
Ding, Xiaojian
Zhang, Rui
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2012, 42 (02): : 513 - 529
[7] Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
Natarajan, Ramesh
Sindhwani, Vikas
Tatikonda, Shirish
[J]. 2009 IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW 2009), 2009, : 314 - +
[8] Parallel extreme learning machine for regression based on MapReduce
He, Qing
Shang, Tianfeng
Zhuang, Fuzhen
Shi, Zhongzhi
[J]. NEUROCOMPUTING, 2013, 102 : 52 - 58
[9] MVPAlab: A machine learning decoding toolbox for multidimensional electroencephalography data
Lopez-Garcia, David
Penalver, Jose M. G.
Gorriz, Juan M.
Ruz, Maria
[J]. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 214
[10] Data Center Predictions using MATLAB Machine Learning Toolbox
Levy, Moises
Raviv, Daniel
Baker, Justin
[J]. 2019 IEEE 9TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC), 2019, : 458 - 464

← 1 2 3 4 5 →