class_docstr: Class for fitting Gaussian processes. 
class_docstr_tok: ["Class","for","fitting","Gaussian","processes","."]
docstr: Computes the adaptive hyper parameter tuning method probs. 
docstr_tok: ["Computes","the","adaptive","hyper","parameter","tuning","method","probs","."]
code: def _get_adaptive_hp_tune_probs(self):
      """Computes the adaptive hyper parameter tuning method probs."""
      num_methods = len(self.methods_to_use)
      uniform_sampling_probs = (
          self.hp_tune_uniform_sampling_prob
          * np.ones((num_methods,))
          / num_methods
      )
      hp_tune_succ_counter = np.array(
          [
              self.hp_tune_sampling_weights[key]
              for key in self.methods_to_use
          ]
      )
      hp_tune_use_counter = np.array(
          [
              self.methods_to_use_counter[key]
              for key in self.methods_to_use
          ]
      )
      hp_tune_weights = hp_tune_succ_counter / np.sqrt(
          1 + hp_tune_use_counter
      )
      hp_tune_norm_weights = hp_tune_weights / hp_tune_weights.sum()
      adaptive_sampling_probs = (
          1 - self.hp_tune_uniform_sampling_prob
      ) * hp_tune_norm_weights
      ret = uniform_sampling_probs + adaptive_sampling_probs
      return ret / ret.sum()
  
imports: from __future__ import division
  from argparse import Namespace
  from itertools import product
  import sys
  import numpy
  from ..distributions.model import Model
  from ..distributions import continuous
  from ..distributions import discrete
  from ..utils.general_utils import stable_cholesky, draw_gaussian_samples, project_symmetric_to_psd_cone, solve_lower_triangular, solve_upper_triangular
  from ..utils.oper_utils import direct_ft_maximise, pdoo_maximise, random_maximise, random_sample_cts_dscr
  from ..utils.option_handler import get_option_specs, load_options
  from ..utils.reporters import get_reporter
label_desc: Use image node_id 4 for calling the GPFitter obj's underlying member method code with example usage: obj._get_adaptive_hp_tune_probs() and returns: unknown