7e0cd1421c6b717fc023ec69e55a9044b1cebdcd,optuna/samplers/tpe/sampler.py,TPESampler,_split_param_values,#TPESampler#Any#,122

Before Change

        n_below = self.gamma(len(param_values))
        below = np.asarray(param_values[:n_below], dtype=float)
        above = np.asarray(param_values[n_below:], dtype=float)
        return below, above

    def _sample_uniform(self, distribution, below, above):
        // type: (distributions.UniformDistribution, np.ndarray, np.ndarray) -> float

After Change

        n_below = self.gamma(len(param_values))

        below = [v for v, _ in sorted(param_values[:n_below], key=lambda entry: entry[1])]
        above = [v for v, _ in sorted(param_values[n_below:], key=lambda entry: entry[1])]
        below = np.asarray(below, dtype=float)
        above = np.asarray(above, dtype=float)
        return below, above

Instances