Comparing the logistic and hinge losses
In this exercise you'll create a plot of the logistic and hinge losses using their mathematical expressions, which are provided to you.
The loss function diagram from the video is shown on the right.
Diese Übung ist Teil des Kurses
Linear Classifiers in Python
Anleitung zur Übung
- Evaluate the
log_loss()andhinge_loss()functions at the grid points so that they are plotted.
Interaktive Übung
Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.
# Mathematical functions for logistic and hinge losses
def log_loss(raw_model_output):
return np.log(1+np.exp(-raw_model_output))
def hinge_loss(raw_model_output):
return np.maximum(0,1-raw_model_output)
# Create a grid of values and plot
grid = np.linspace(-2,2,1000)
plt.plot(grid, ____, label='logistic')
plt.plot(grid, ____, label='hinge')
plt.legend()
plt.show()