A transfer learning-based random forest regression model developed on Python 2.7
to run this project , the following module is required:
- python-dev
- build-essential
- python-pip
then use pip install -r requirements.txt to install python library
| BS_ID | feature_1 | feature_2 | .... | label |
|---|---|---|---|---|
| 1 | -45 | 4.54 | ... | 121.34 |
| 2 | -52 | 6.72 | ... | 121.45 |
The first column is the domain IDs of the data, and the last column is the ground truth of the data.
You must ensure that source data and target data are in a data file.
Import RF and transferForest modules in your code (See details in run_Example.py).
Specify the target domian ID when initializing.
More functions of Tloc are coming soon.