Comments (2)
The TimeGAN model was removed from the init.py at that level. A TimeSeriesSynthesizer
class is now available as a facade to both TimeGAN
and DoppelGanger
. You can directly import TimeGAN as from ydata_synthetic.synthesizers.timeseries.timegan.model import TimeGAN
.
In the current version the function calls do not match with the examples anymore. So the example needs an update to the latest TimeGAN or the TimeSeriesSynthesizer. You should be able to run the example with an older version, e.g. pip install ydata-synthetic<1.3.0
from ydata-synthetic.
I have updated the Jupyter Notebook in this PR: #310
from ydata-synthetic.
Related Issues (20)
- [SUGGESTION] - Replace comments to clear the confusion HOT 1
- Issues install on MacOS HOT 5
- related to ydata-sdk Synthesizer model
- Install error HOT 1
- How can synthetic data be sorted by time? HOT 1
- [BUG] ydata fails to import on fresh Docker container HOT 2
- [BUG] unable to import module TimeSeriesSynthesizer when running mba_doppelganger.py example HOT 1
- Runninging TimeGAN initializer stalls the program indefinitely in example file
- [BUG]ModuleNotFoundError: No module named 'ydata' HOT 1
- [FEAT]Remove generator vars from gradient of the Supervised loss in TimeGAN (as loss does not depend on it)
- [BUG] Cannot install version 1.3.1
- How can I save the data generated by timeGAN?
- Installation Dependancies Failure[BUG] HOT 1
- [FEAT] How can i set min and max bounds for columns with numberic data? HOT 1
- [BUG]cannot import name 'streamlit_app' from 'ydata_synthetic'
- Model training debugging capabilities
- [BUG] Creating synthetic data via CGAN
- [FEAT] GPU no longer accessible in Google Collab
- [FEAT] Telemetry
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