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import plotly.graph_objects as go | |
# plotly.offline.init_notebook_mode() # Uncomment if working in a jupyter nb | |
fig = go.Figure() | |
fig.add_trace(go.Scatter3d(x = params[:, 0], y = params[:, 1], z = params[:, 2], | |
mode='lines', | |
name='No Scaling', | |
line=dict(color='green', width=2))) | |
fig.add_trace(go.Scatter3d(x = params_std[:, 0], y = params_std[:, 1], z = params_std[:, 2], | |
mode='lines', | |
name='Standardization', | |
line=dict(color='blue', width=2))) | |
fig.add_trace(go.Scatter3d(x = params_normd[:, 0], y = params_normd[:, 1], z = params_normd[:, 2], | |
mode='lines', | |
name='Normalization', | |
line=dict(color='red', width=2))) | |
fig.update_layout(title = "<b>Comparing the effect of feature scaling on SGD</b>", | |
scene = dict(xaxis_title = 'Bias', yaxis_title = 'Weight 1', zaxis_title = 'Weight 2'), | |
scene_camera = dict(eye=dict(x=1.5, y=1.5, z=0.1)), | |
#margin=dict(l=0, r=0, b=0, t=0), | |
legend=dict(x = -.1), | |
legend_orientation = "v", | |
legend_title = '<b> Parameter convergence with </b>', | |
) | |
fig.show() |
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