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@ -33,7 +33,7 @@ After installing the easiest way to get started is as follows (using pandas). Th
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df = data.maker.generate(logs='logs')
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df = data.maker.generate(logs='logs')
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df.head()
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df.head()
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## Limitations
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## Limitations
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---
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---
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@ -42,8 +42,10 @@ GANS will generate data assuming the original data has all the value space neede
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- No new data will be created
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- No new data will be created
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Assuming we have a dataset with an gender attribute with values [M,F]. The synthetic data will not be able to generate genders outside [M,F]
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Assuming we have a dataset with an gender attribute with values [M,F].
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The synthetic data will not be able to generate genders outside [M,F]
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- Not advised on continuous values
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- Not advised on continuous values
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GANS work well on discrete values and thus are not advised to be used to synthesize things like measurements (height, blood pressure, ...)
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GANS work well on discrete values and thus are not advised to be used.
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e.g:measurements (height, blood pressure, ...)
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