Erik van der Pluijm Pitchlab
bartolsthoorn
/ multilabel_example.py
Created
April 29, 2017 12:13
Simple multi-laber classification example with Pytorch and MultiLabelSoftMarginLoss (https://en.wikipedia.org/wiki/Multi-label_classification)
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import torch | |
| import torch.nn as nn | |
| import numpy as np | |
| import torch.optim as optim | |
| from torch.autograd import Variable | |
| # (1, 0) => target labels 0+2 | |
| # (0, 1) => target labels 1 | |
| # (1, 1) => target labels 3 | |
| train = [] |