 |
|
Or, if you are using , you can inspect it with the scipy.io library:
To see what is inside the file, you can run the following command in : whos -file bestExperiment.mat Use code with caution. Copied to clipboard bestExperiment.mat
from scipy.io import loadmat data = loadmat('bestExperiment.mat') print(data.keys()) Use code with caution. Copied to clipboard Or, if you are using , you can inspect it with the scipy
: The "best" settings found during a machine learning or optimization run. : A saved instance of a neural network
: A saved instance of a neural network or statistical model that performed the best during testing.
In most programming and research contexts, a file named like this often contains:
If you can tell me (e.g., a specific GitHub repository, a university course, or a software package), I can help you identify exactly what data "piece" it holds.
|
|