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author | Vasil Zlatanov <v@skozl.com> | 2019-02-12 20:22:25 +0000 |
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committer | Vasil Zlatanov <v@skozl.com> | 2019-02-12 20:22:25 +0000 |
commit | 7150ceab64658c2154b3b3f73fc99fdba27b2473 (patch) | |
tree | b391410955e824423feb9b01f7258dd451503676 /evaluate.py | |
parent | a6e5ced5c4dddd76af5e8ffd6950b1b2b7836fd0 (diff) | |
parent | 28fc3fe28aca669852021d7c2b501dbcc3f66aff (diff) | |
download | e4-vision-7150ceab64658c2154b3b3f73fc99fdba27b2473.tar.gz e4-vision-7150ceab64658c2154b3b3f73fc99fdba27b2473.tar.bz2 e4-vision-7150ceab64658c2154b3b3f73fc99fdba27b2473.zip |
Merge branch 'master' of skozl.com:e4-vision
Diffstat (limited to 'evaluate.py')
-rwxr-xr-x | evaluate.py | 13 |
1 files changed, 0 insertions, 13 deletions
diff --git a/evaluate.py b/evaluate.py index 371ba36..8874912 100755 --- a/evaluate.py +++ b/evaluate.py @@ -50,10 +50,6 @@ def make_histogram(data, model, args): leaves = np.apply_along_axis(np.bincount, axis=0, arr=leaves, minlength=args.leaves) histogram[i][j] = leaves.reshape(hist_size) - print(histogram[0][0].shape) - plt.bar(np.arange(100), histogram[0][0].flatten()) - plt.show() - return histogram def run_model (data, train, test, train_part, args): @@ -124,15 +120,6 @@ def main(): print("Accuracy: ",acc[i][j]) args.seed = 1 - plt.plot(a,acc[0]) - acc[1][2]+=0.01 - acc[1][4]+=0.01 - acc[1][7]+=0.01 - acc[1][8]+=0.01 - acc[1][9]+=0.01 - acc[1][10]+=0.01 - acc[1][12]+=0.01 - acc[1][14]+=0.01 plt.plot(a,acc[1]) plt.legend(('Axis aligned','Two Pixels Test'), loc='best') plt.ylabel('Normalized Classification Accuracy') |