-
Notifications
You must be signed in to change notification settings - Fork 0
/
readme.txt
30 lines (18 loc) · 2.06 KB
/
readme.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
About this file:
This file contains a module (KRFD.py) that provides a functional output regression model based on the kernel method called KRFD. KRFD.py is mainly made up of the KRFD_model and KRSFD_model classes. Use the KRFD_model class, if the functional output values are observed at the same measurement point set for each input. Use the KRSFD_model class, if the functional output values are observed at different measurement point sets for each input.
Usage:
Set the KRFD file as the current directory, then open tutorial_KRFD.ipynb with jupyter notebook to start a tutorial that explains how to use the KRFD_model class in the KRFD.py module. For the KRSFD_model class tutorial, please run tutorial_KRSFD.ipynb.
Dependencies:
・ For KRFD.py
pandas version = 1.5.1
numpy version = 1.22.4
scipy version == 1.8.1
・ For tutorial_KRFD.ipynb and tutorial_KRSFD.ipynb
optuna version == 3.0.3
joblib version == 1.2.0
matplotlib version == 3.7.1
scikit-learn version == 1.1.3
Environment of author:
Python 3.9.16
macOS Sonoma 14.6.1