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Add split functionality to synthetic_data #268
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| Original file line number | Diff line number | Diff line change |
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@@ -112,6 +112,25 @@ def __init__(self, name, root=_DEFAULT_DATADIR, download=True): | |
| self.index = self.data['u'] | ||
| self.lam = self.data['lam'] | ||
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| def split(self, split): | ||
| tot_len = len(self.neural) | ||
| train_idx = np.arange(tot_len)[:int(tot_len*0.8)] | ||
| valid_idx = np.arange(tot_len)[int(tot_len*0.8):] | ||
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| if split == 'train': | ||
| self.neural = self.neural[train_idx] | ||
| self.index = self.index[train_idx] | ||
| self.idx = train_idx | ||
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| elif split == 'valid': | ||
| self.neural = self.neural[valid_idx] | ||
| self.index = self.index[valid_idx] | ||
| self.idx = valid_idx | ||
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| elif split == 'all': | ||
| pass | ||
| else: | ||
| raise ValueError(f"{split} not supported") | ||
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| @property | ||
| def input_dimension(self): | ||
| return self.neural.size(1) | ||
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[nitpick] The hardcoded 0.8 split ratio should be extracted as a configurable parameter or class constant to improve maintainability and allow for different split ratios.