investigating the effect of feature scaling on SGD

plot-sgds.py

import plotly.graph_objects as go

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()