0.5.2

• Allow savings_score and expected_savings_score
  to calculate the savings score over the baseline model instead of a naive model,
  by setting the y_pred_baseline and y_proba_baseline parameters, respectively.
• Reworked the user guide documentation to better explain the usage of value-driven
  and cost-sensitive models, samplers and metrics
• CSLogitClassifier and ProfLogitClassifier
  by default do not perform soft-thresholding on the regression coefficients.
  This can be enabled by setting the soft_threshold parameter to True.
• Prevent division by zero errors in expected_cost_loss

Full Changelog: 0.5.1...0.5.2