Novel Evaluation Methodology for Machine Learning Algorithms through API Creation

被引：0
|
作者：
Kirthi, Soumya Amrita C. N. [1 ]
Kumar, Kantha Lakshmi Krishna [2 ]
Suma, H. N. [1 ]
机构：
[1] BMS Coll Engn, Dept Med Elect, Bengaluru, Karnataka, India
[2] SIG Analyt, Philips Innovat Campus, Bengaluru, Karnataka, India
来源：
2019 11TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS) | 2019年
关键词：
machine learning; API; automation testing; testing validation; TEST SUITES;
D O I：
10.1109/comsnets.2019.8711468
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Datascientist have a need for API's that can evaluate the standards of the code, test functionality of each feature involved in the execution of algorithms. It would be helpful if the datascientist can visualize these standards in an understandable form. In this reported work we present the details about one such API termed as score API. The score API takes input from the workbench, such as user name and password for authentication of the user, once authorized the user can check for status of the developed algorithm. API reports the strength of the algorithms and validates them through automation testing.
引用
收藏
页码：861 / 863
页数：3
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