semvec/pypi-packages huggingface dataset:
Syndlib 0.0.1
A Python package for synthetic data augmentation
Requires Python: >=3.7

1. Use
2. import pandas as pd
3. import Syndlib
4. from Syndlib import Syndbox
5. df=pd.read_excel('/content/filename.xlsx')
6. df1=Syndbox.TESI(df, Equation='Euc_p1', start=0.01, augmentation_factor=10)
7.                             
8. df1.pd_frame(save=True)\
9. df1.arr()\
10. 
11. 
12. Parameters 
13. start: (float), default=0.01, The starting value of the angle sequence.\ 
14. stop: (int), default=1, The end value of the angle's sines vector. Should be always 1 because the angle's max sine is 1.\ 
15. augmentation_factor: (int), default (0.01), the number of times the data is augmented. should be from 0 to infinity.\
16. Equation: default='Euc_p1', Either the Euclidian or the following transformed Euclidian formulas.\ 

17. 'Euc_p1': The linear polynomial.\
18. 'Euc_p2': The quadratic polynomial.\ 
19. 'Euc_p3': The cubic polynomial.\
20. 'Euc_Log': The log-transformed euclidian formula.\ 
21. 
22. Documentation
23. The TESI was developed in a study context, the study paper was published in Elsivier.\ 
24. A detailed description behind the logical of the TESI can be found in the paper.\
25. NOTE: PLEASE CITE THE PAPER.\ 
26. 
27. Publisher name: Elsevier\
28. Journal: Computers and Electronics in Agriculture\
29. Volume: 206\
30. Issue: March 2023\
31. Pages: 107646\
32. DOI: https://doi.org/10.1016/j.compag.2023.107646\