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.
Cet exercice fait partie du cours
Linear Classifiers in Python
Instructions
- Evaluate the
log_loss()andhinge_loss()functions at the grid points so that they are plotted.
Exercice interactif pratique
Essayez cet exercice en complétant cet exemple de code.
# 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()