documentation/layout

This commit is contained in:
Steve Nyemba 2019-12-12 12:15:05 -06:00
parent 8a5307c242
commit caab8800dd
1 changed files with 5 additions and 3 deletions

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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.head()
## 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
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
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, ...)