4677f1eb215c93a651b4bb5c491b2c20b9efb8b2,evaluation/GoodnessOfFit.py,GoodnessOfFit,kolmogorov_smirnov_cdf,#GoodnessOfFit#,74

Before Change

    return sw, p

  def   kolmogorov_smirnov_cdf(self):
    ks = []
    p = []
    for _ in range(self.repeat_kolmogorov):
      self.resample_new_conditional_samples()
      ks_new, p_new = kstest(self.estimator_conditional_samples, lambda y: self.probabilistic_model.cdf(self.X_cond, y))

After Change

    return jb, p

  def kolmogorov_smirnov_cdf(self):
    samples = [self.sample_conditional_values() for _ in range(self.repeat_kolmogorov)]
    estimator_cond_samples = np.asarray(samples)[:, 0]

    statistics = np.asarray(Parallel(n_jobs=-1)(delayed(ktest_cdf)(self, estimator_cond_samples[i]) for i in range(
      self.repeat_kolmogorov)))
    return np.mean(statistics[:,0]), np.mean(statistics[:,1])

  def kolmogorov_smirnov_2sample(self):
    samples = np.asarray([self.sample_conditional_values() for _ in range(self.repeat_kolmogorov)])

Instances