docs: updating the TimeGAN notebook to support the new version of the API #310
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cptanalatriste
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fabclmnt
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fabclmnt
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Hi @cptanalatriste, thank you for your contribution! It is always great to have the examples and documentation updated! |
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* docs: update docs with GMM and relational database synthesis. (#313) Co-authored-by: Fabiana Clemente <fabianaclemente@Fabianas-MacBook-Air.local> * docs: update doppelGANger example (#306) Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * Changing the TimeGAN notebook to support the new version of the API (#310) Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * chore(deps): update dependency scikit-learn to ==1.3.* (#296) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * chore(deps): update dependency mkdocstrings to v0.24.0 (#294) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * chore(deps): update dependency mkdocs to v1.5.3 (#292) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * chore(deps): update dependency ydata-profiling to v4.6.3 (#244) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * chore(deps): update dependency streamlit to v1.29.0 (#241) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> * chore(deps): update dependency pytest to v7 (#215) Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com> Co-authored-by: Fabiana <30911746+fabclmnt@users.noreply.github.com> --------- Co-authored-by: Fabiana Clemente <fabianaclemente@Fabianas-MacBook-Air.local> Co-authored-by: Miriam Seoane Santos <68821478+miriamspsantos@users.noreply.github.com> Co-authored-by: Carlos Gavidia-Calderon <cgavidiac@gmail.com> Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
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Previously, the notebook
examples/timeseries/TimeGAN_Synthetic_stock_data.ipynbwas not aligned with the new version of the API, that uses theTimeSeriesSynthesizerclass. We do have a working example atexamples/timeseries/stock_timegan.py. In this PR, I mostly ported the code instock_timegan.pytoTimeGAN_Synthetic_stock_data.ipynb, to have working Jupyter Notebook example of synthetic time series generation.This PR addresses the issue: #300