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[DDG-DA] Update crowd-sourced data results (#1405)
* [DDG-DA] Update crowd-sourced data experiments * Remove internal data version * Modify README
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@@ -170,7 +170,7 @@ class DDGDA:
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# 3) train and logging meta model
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with R.start(experiment_name=self.meta_exp_name):
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R.log_params(**kwargs)
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mm = MetaModelDS(step=self.step, hist_step_n=kwargs["hist_step_n"], lr=0.001, max_epoch=200, seed=43)
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mm = MetaModelDS(step=self.step, hist_step_n=kwargs["hist_step_n"], lr=0.001, max_epoch=100, seed=43)
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mm.fit(md)
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R.save_objects(model=mm)
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