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Generate 'n_samples' number of data points #290

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Generate 'n_samples' number of data points #290

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ad20ea0
Update independent.py
ashokc Apr 19, 2024
443ef91
Merge pull request #1 from ashokc/ashokc-patch-1
ashokc Apr 20, 2024
7948211
Update uniform.py
ashokc Apr 22, 2024
50842d9
Merge branch 'sdv-dev:main' into main
ashokc Apr 22, 2024
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4 changes: 2 additions & 2 deletions sdgym/synthesizers/independent.py
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Original file line number Diff line number Diff line change
Expand Up @@ -45,10 +45,10 @@ def _sample_from_synthesizer(self, synthesizer, n_samples):
for name, column in transformed.items():
kind = column.dtype.kind
if kind == 'O':
values = column.sample(self.length, replace=True).to_numpy()
values = column.sample(n_samples, replace=True).to_numpy()
else:
model = gm_models.get(name)
values = model.sample(self.length)[0].ravel().clip(column.min(), column.max())
values = model.sample(n_samples)[0].ravel().clip(column.min(), column.max())

sampled[name] = values

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4 changes: 2 additions & 2 deletions sdgym/synthesizers/uniform.py
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Original file line number Diff line number Diff line change
Expand Up @@ -49,11 +49,11 @@ def _sample_from_synthesizer(self, synthesizer, n_samples):
for name, column in transformed.items():
kind = column.dtype.kind
if kind == 'i':
values = np.random.randint(column.min(), column.max() + 1, size=self.length)
values = np.random.randint(column.min(), column.max() + 1, size=n_samples)
elif kind in ['O', 'b']:
values = np.random.choice(column.unique(), size=self.length)
else:
values = np.random.uniform(column.min(), column.max(), size=self.length)
values = np.random.uniform(column.min(), column.max(), size=n_samples)

sampled[name] = values

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