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plotting results for mnist/cifar and synthetic #28

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Merged
4ug-aug merged 1 commit into from
Jun 25, 2025
Merged

plotting results for mnist/cifar and synthetic #28

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13 changes: 7 additions & 6 deletions exp1_decision_boundary/generate_data_rogue_many.py
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Original file line number Diff line number Diff line change
Expand Up @@ -108,15 +108,16 @@ def plot_data(X, y, rogue_point_idx=None):
framealpha=0.95,
facecolor='white',
edgecolor='lightgray',
loc='best',
fontsize=10
loc='upper center',
bbox_to_anchor=(0.5, -0.10),
ncol=4,
fontsize=14
)

# Add labels and title
plt.xlabel('Feature 1', fontsize=12)
plt.ylabel('Feature 2', fontsize=12)
plt.title('Cluster Distribution', fontsize=14, fontweight='bold')

plt.xlabel('Feature 1', fontsize=16)
plt.ylabel('Feature 2', fontsize=16)

# Improve ticks
plt.tick_params(direction='out', length=6, width=1)

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13 changes: 3 additions & 10 deletions exp1_decision_boundary/generate_data_rogue_one.py
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Original file line number Diff line number Diff line change
Expand Up @@ -101,13 +101,12 @@ def plot_data(X, y, rogue_point_idx=None):
facecolor='white',
edgecolor='lightgray',
loc='best',
fontsize=10
fontsize=14
)

# Add labels and title
plt.xlabel('Feature 1', fontsize=12)
plt.ylabel('Feature 2', fontsize=12)
plt.title('Cluster Distribution', fontsize=14, fontweight='bold')
plt.xlabel('Feature 1', fontsize=14)
plt.ylabel('Feature 2', fontsize=14)

# Improve ticks
plt.tick_params(direction='out', length=6, width=1)
Expand Down Expand Up @@ -156,7 +155,6 @@ def save_fig(plot, filename, folder):
# 0. No rogue point
X, y, rogue_point_idx = generate_data(centroids, stds, sizes)
plot = plot_data(X,y, rogue_point_idx)
plot.title('Simple synthetic dataset (no rogue points)', fontsize=14, fontweight='bold')
save_data(X, y, rogue_point_idx, os.path.join(data_folder, 'data_0.npz'))
save_fig(plot, 'data_0', data_plots_folder)
plt.close()
Expand All @@ -166,7 +164,6 @@ def save_fig(plot, filename, folder):
rogue_point = (np.mean(centroids, axis=0), np.array([1]))
X, y, rogue_point_idx = generate_data(centroids, stds, sizes, rogue_point=rogue_point)
plot = plot_data(X,y, rogue_point_idx)
plot.title('Simple synthetic dataset (rogue point with same distance to all centroids)', fontsize=14, fontweight='bold')
save_data(X, y, rogue_point_idx, os.path.join(data_folder, 'data_1.npz'))
save_fig(plot, 'data_1', data_plots_folder)
# clear plot
Expand All @@ -177,7 +174,6 @@ def save_fig(plot, filename, folder):
rogue_point = (centroids[1], np.array([1]))
X, y, rogue_point_idx = generate_data(centroids, stds, sizes, rogue_point=rogue_point)
plot = plot_data(X,y, rogue_point_idx)
plot.title('Simple synthetic dataset (rogue point with same centroid as the class with a same label)', fontsize=14, fontweight='bold')
save_data(X, y, rogue_point_idx, os.path.join(data_folder, 'data_2.npz'))
save_fig(plot, 'data_2', data_plots_folder)
plt.close()
Expand All @@ -188,7 +184,6 @@ def save_fig(plot, filename, folder):
rogue_point = (centroids[2], np.array([1]))
X, y, rogue_point_idx = generate_data(centroids, stds, sizes, rogue_point=rogue_point)
plot = plot_data(X,y, rogue_point_idx)
plot.title('Simple synthetic dataset (rogue point with same centroid as the class with a different label)', fontsize=14, fontweight='bold')
save_data(X, y, rogue_point_idx, os.path.join(data_folder, 'data_3.npz'))
save_fig(plot, 'data_3', data_plots_folder)
plt.close()
Expand All @@ -198,7 +193,6 @@ def save_fig(plot, filename, folder):
rogue_point = (np.array([-8, 8]), np.array([1]))
X, y, rogue_point_idx = generate_data(centroids, stds, sizes, rogue_point=rogue_point)
plot = plot_data(X,y, rogue_point_idx)
plot.title('Simple synthetic dataset (rogue point far away from its centroid, but probably in the same decision boundary)', fontsize=14, fontweight='bold')
save_data(X, y, rogue_point_idx, os.path.join(data_folder, 'data_4.npz'))
save_fig(plot, 'data_4', data_plots_folder)
plt.close()
Expand All @@ -209,7 +203,6 @@ def save_fig(plot, filename, folder):
rogue_point = (np.array([1, -8]), np.array([1]))
X, y, rogue_point_idx = generate_data(centroids, stds, sizes, rogue_point=rogue_point)
plot = plot_data(X,y, rogue_point_idx)
plot.title('Simple synthetic dataset (rogue point far away from its centroid, but probably in the same decision boundary)', fontsize=14, fontweight='bold')
save_data(X, y, rogue_point_idx, os.path.join(data_folder, 'data_5.npz'))
save_fig(plot, 'data_5', data_plots_folder)
plt.close()
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