qsi-tk 0.1.6

Data science toolkit (TK) from Quality-Safety research Institute (QSI).

qsi-tk

Data science toolkit (TK) from Quality-Safety research Institute (QSI)

Installation

pip install qsi-tk

Contents

This package is a master library containing various previous packages published by our team.

module	sub-module	description	standalone pypi package	publication
qsi.io		File I/O, Dataset loading
qsi.vis		Plotting
qsi.cs		compressed sensing	cs1	Adaptive compressed sensing of Raman spectroscopic profiling data for discriminative tasks [J]. Talanta, SCI, IF 6.057. JCR Q1, 2020, doi: 10.1016/j.talanta.2019.120681
qsi.fs		feature selection
qsi.dr	qsi.dr.metrics	Dimensionality Reduction (DR) quality metrics	pyDRMetrics, wDRMetrics	pyDRMetrics - A Python toolkit for dimensionality reduction quality assessment, Heliyon, Volume 7, Issue 2, 2021, e06199, ISSN 2405-8440, https://doi.org/10.1016/j.heliyon.2021.e06199.
	qsi.dr.mf	matrix-factorization based DR	pyMFDR
qsi.cla	qsi.cla.metrics	classifiability analysis	pyCLAMs, wCLAMs	A unified classifiability analysis framework based on meta-learner and its application in spectroscopic profiling data [J]. Applied Intelligence, SCI, IF 5.086. JCR Q1, 2021, doi: 10.1007/s10489-021-02810-8 pyCLAMs: An integrated Python toolkit for classifiability analysis [J]. SoftwareX, SCI, IF 1.959, 2022, doi: 10.1016/j.softx.2022.101007
	qsi.cla.ensemble	homo-stacking, hetero-stacking, FSSE	pyNNRW	Spectroscopic Profiling-based Geographic Herb Identification by Neural Network with Random Weights [J]. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, SCI, IF 4.098. JCR Q1, 2022, doi: 10.1016/j.saa.2022.121348
	qsi.cla.kernel	kernel-NNRW
	qsi.cla.nnrw	neural networks with random weights