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@amankharwal
Created October 10, 2020 08:01
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import chart_studio.plotly as py
import plotly.graph_objs as go
from plotly.offline import init_notebook_mode, iplot
init_notebook_mode(connected=True)
import plotly
def predreport(y_pred, Y_Test):
diff = y_pred.flatten() - Y_Test.flatten()
perc = (abs(diff)/y_pred.flatten())*100
priority = []
for i in perc:
if i > 0.4:
priority.append(3)
elif i> 0.1:
priority.append(2)
else:
priority.append(1)
print("Error Importance 1 reported in ", priority.count(1),
"cases\n")
print("Error Importance 2 reported in", priority.count(2),
"cases\n")
print("Error Importance 3 reported in ", priority.count(3),
"cases\n")
colors = ['rgb(102, 153, 255)','rgb(0, 255, 0)',
'rgb(255, 153, 51)', 'rgb(255, 51, 0)']
fig = go.Figure(data=[go.Table(header=
dict(
values=['Actual Values', 'Predictions',
'% Difference', "Error Importance"],
line_color=[np.array(colors)[0]],
fill_color=[np.array(colors)[0]],
align='left'),
cells=dict(
values=[y_pred.flatten(),Y_Test.flatten(),
perc, priority],
line_color=[np.array(colors)[priority]],
fill_color=[np.array(colors)[priority]],
align='left'))])
init_notebook_mode(connected=False)
py.plot(fig, filename = 'Predictions_Table', auto_open=True)
fig.show()
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