change default optimizer to NSGAIIISampler - best results so far
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@@ -48,7 +48,7 @@ class IHyperOpt(ABC):
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"NSGAIIISampler", "QMCSampler" or an instance of a class
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"NSGAIIISampler", "QMCSampler" or an instance of a class
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inheriting from BaseSampler (from optuna.samplers).
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inheriting from BaseSampler (from optuna.samplers).
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"""
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"""
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return "NSGAIISampler"
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return "NSGAIIISampler"
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def generate_roi_table(self, params: dict) -> dict[int, float]:
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def generate_roi_table(self, params: dict) -> dict[int, float]:
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"""
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"""
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