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| author | Vasil Zlatanov <v@skozl.com> | 2019-03-10 18:46:24 +0000 |
|---|---|---|
| committer | Vasil Zlatanov <v@skozl.com> | 2019-03-10 18:46:24 +0000 |
| commit | 07ae3a62f460e8b1ae700194cd85f05b2d2f011d (patch) | |
| tree | 46e38d904d58af68b4c75dfdec614733cf991090 /lenet.py | |
| parent | 717da7a7e173cd971baddd9f8edb6de668b1e815 (diff) | |
| download | e4-gan-07ae3a62f460e8b1ae700194cd85f05b2d2f011d.tar.gz e4-gan-07ae3a62f460e8b1ae700194cd85f05b2d2f011d.tar.bz2 e4-gan-07ae3a62f460e8b1ae700194cd85f05b2d2f011d.zip | |
Add padding to plot_probas
Diffstat (limited to 'lenet.py')
| -rw-r--r-- | lenet.py | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -144,6 +144,7 @@ def train_classifier(x_train, y_train, x_val, y_val, batch_size=128, epochs=100, return model def plot_probas(model, x_test, y_true): + x_test = np.pad(x_test, ((0,0),(2,2),(2,2),(0,0)), 'constant') probas = model.predict(x_test) skplt.metrics.plot_roc(y_true, probas) plt.show() |