feat: New Input parameters format & model fixes #82
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* feat(synth): Change synthesizers input - Add Model and Train parameters as namedTuples. * feat(examples): Change examples inputs to match changes. * feat: Change CGAN and WGAN examples. * feat: Changing GAN parameters. * feat: Chaing DRAGAN inputs and example file. * feat(synth): Change learning rate inputs. * feat: Introduce the concept of epochs. * fix: Adding stock data dataset. * feat: Adding test datasets.
* removing unused argument in build methods * Fixed supervisor loss temporal alignment * temporal allignment fix, path fix on example * path fix on example ipynb
* minor changes on quick start and project resources * add contributing guidelines * add support and licensing info
arunnthevapalan
approved these changes
Aug 27, 2021
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• Save and load fixes in both WGAN and WGAN-GP due to optimiser functions
• Fixed model's input parameters format (Model & Train arguments) to bring more standardisation and input arguments number.
• Fixed TimeGAN identified issues in Supervised training.
• Stock data preprocessing corrected - download through API is no longer available.
• Examples updates