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Steve Nyemba 2019-12-12 12:15:05 -06:00
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README.md
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@ -33,7 +33,7 @@ After installing the easiest way to get started is as follows (using pandas). Th
df = data.maker.generate(logs='logs') df = data.maker.generate(logs='logs')
df.head() df.head()
## Limitations ## Limitations
--- ---
@ -42,8 +42,10 @@ GANS will generate data assuming the original data has all the value space neede
- No new data will be created - No new data will be created
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] 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]
- Not advised on continuous values - Not advised on continuous values
GANS work well on discrete values and thus are not advised to be used to synthesize things like measurements (height, blood pressure, ...) GANS work well on discrete values and thus are not advised to be used.
e.g:measurements (height, blood pressure, ...)