SimonBlanke /
Hyperactive
| @@ 79-109 (lines=31) @@ | ||
| 76 | self.s_space.dim_keys + ["score"] |
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| 77 | ].reset_index(drop=True) |
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| 78 | ||
| 79 | def _setup_process(self, nth_process): |
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| 80 | self.nth_process = nth_process |
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| 81 | ||
| 82 | self.hg_conv = HyperGradientConv(self.s_space) |
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| 83 | ||
| 84 | initialize = self.hg_conv.conv_initialize(self.initialize) |
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| 85 | search_space_positions = self.s_space.positions |
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| 86 | ||
| 87 | # conv warm start for smbo from values into positions |
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| 88 | if "warm_start_smbo" in self.opt_params: |
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| 89 | self.opt_params["warm_start_smbo"] = ( |
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| 90 | self.hg_conv.conv_memory_warm_start( |
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| 91 | self.opt_params["warm_start_smbo"] |
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| 92 | ) |
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| 93 | ) |
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| 94 | ||
| 95 | gfo_constraints = [ |
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| 96 | Constraint(constraint, self.s_space) |
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| 97 | for constraint in self.constraints |
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| 98 | ] |
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| 99 | ||
| 100 | self.gfo_optimizer = self.optimizer_class( |
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| 101 | search_space=search_space_positions, |
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| 102 | initialize=initialize, |
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| 103 | constraints=gfo_constraints, |
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| 104 | random_state=self.random_state, |
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| 105 | nth_process=nth_process, |
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| 106 | **self.opt_params, |
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| 107 | ) |
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| 108 | ||
| 109 | self.conv = self.gfo_optimizer.conv |
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| 110 | ||
| 111 | def search(self, nth_process, p_bar): |
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| 112 | self._setup_process(nth_process) |
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| @@ 85-113 (lines=29) @@ | ||
| 82 | self.s_space.dim_keys + ["score"] |
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| 83 | ].reset_index(drop=True) |
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| 84 | ||
| 85 | def _setup_process(self): |
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| 86 | self.hg_conv = HyperGradientConv(self.s_space) |
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| 87 | ||
| 88 | initialize = self.hg_conv.conv_initialize(self.initialize) |
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| 89 | search_space_positions = self.s_space.positions |
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| 90 | ||
| 91 | # conv warm start for smbo from values into positions |
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| 92 | if "warm_start_smbo" in self.opt_params: |
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| 93 | self.opt_params["warm_start_smbo"] = ( |
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| 94 | self.hg_conv.conv_memory_warm_start( |
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| 95 | self.opt_params["warm_start_smbo"] |
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| 96 | ) |
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| 97 | ) |
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| 98 | ||
| 99 | gfo_constraints = [ |
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| 100 | Constraint(constraint, self.s_space) |
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| 101 | for constraint in self.constraints |
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| 102 | ] |
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| 103 | ||
| 104 | self.gfo_optimizer = self.optimizer_class( |
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| 105 | search_space=search_space_positions, |
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| 106 | initialize=initialize, |
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| 107 | constraints=gfo_constraints, |
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| 108 | random_state=self.random_state, |
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| 109 | nth_process=self.nth_process, |
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| 110 | **self.opt_params, |
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| 111 | ) |
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| 112 | ||
| 113 | self.conv = self.gfo_optimizer.conv |
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| 114 | ||
| 115 | def _search(self, p_bar): |
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| 116 | self._setup_process() |
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