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feat: Input parameters entity #74

Merged
merged 9 commits into from Aug 16, 2021
Merged

feat: Input parameters entity #74

merged 9 commits into from Aug 16, 2021

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fabclmnt
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  • New input parameters entities: TrainParameters and GanParameters to standardise the inputs used by the different models.
  • Stock dataset fix - dataset no longer available via API
  • Epochs and iterations fix
  • Examples update

@fabclmnt fabclmnt changed the base branch from master to dev August 16, 2021 22:56
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@fabclmnt fabclmnt merged commit b5aacc1 into dev Aug 16, 2021
@fabclmnt fabclmnt deleted the feat/input_parameters branch August 16, 2021 23:04
fabclmnt added a commit that referenced this pull request Aug 27, 2021
* feat: Input parameters entity (#74)

* 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.

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix(TimeGAN):  supervised loss computation (#77)

* removing unused argument in build methods

* Fixed supervisor loss temporal alignment

* temporal allignment fix, path fix on example

* path fix on example ipynb

* docs: add contributing, support and license and minor changes (#78)

* minor changes on quick start and project resources
* add contributing guidelines
* add support and licensing info

* fix: Custom loss function. Example update. (#79)

Co-authored-by: Francisco Santos <36741643+jfsantos-ds@users.noreply.github.com>
Co-authored-by: Arunn Thevapalan <arunn.work@gmail.com>
fabclmnt added a commit that referenced this pull request Aug 27, 2021
* feat: Input parameters entity (#74)

* 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.

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix(TimeGAN):  supervised loss computation (#77)

* removing unused argument in build methods

* Fixed supervisor loss temporal alignment

* temporal allignment fix, path fix on example

* path fix on example ipynb

* docs: add contributing, support and license and minor changes (#78)

* minor changes on quick start and project resources
* add contributing guidelines
* add support and licensing info

* fix: Custom loss function. Example update. (#79)

Co-authored-by: Francisco Santos <36741643+jfsantos-ds@users.noreply.github.com>
Co-authored-by: Arunn Thevapalan <arunn.work@gmail.com>
fabclmnt added a commit that referenced this pull request Aug 27, 2021
* feat: Input parameters entity (#74)

* 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.

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix(TimeGAN):  supervised loss computation (#77)

* removing unused argument in build methods

* Fixed supervisor loss temporal alignment

* temporal allignment fix, path fix on example

* path fix on example ipynb

* docs: add contributing, support and license and minor changes (#78)

* minor changes on quick start and project resources
* add contributing guidelines
* add support and licensing info

* fix: Custom loss function. Example update. (#79)

Co-authored-by: Francisco Santos <36741643+jfsantos-ds@users.noreply.github.com>
Co-authored-by: Arunn Thevapalan <arunn.work@gmail.com>
jfsantos-ds added a commit that referenced this pull request Oct 18, 2021
* feat: Input parameters entity (#74)

* 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.

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix(TimeGAN):  supervised loss computation (#77)

* removing unused argument in build methods

* Fixed supervisor loss temporal alignment

* temporal allignment fix, path fix on example

* path fix on example ipynb

* docs: add contributing, support and license and minor changes (#78)

* minor changes on quick start and project resources
* add contributing guidelines
* add support and licensing info

* fix: Custom loss function. Example update. (#79)

Co-authored-by: Francisco Santos <36741643+jfsantos-ds@users.noreply.github.com>
Co-authored-by: Arunn Thevapalan <arunn.work@gmail.com>
jfsantos-ds added a commit that referenced this pull request Oct 18, 2021
* feat: Input parameters entity (#74)

* 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.

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix: Save and load methods from DRAGAN, WGAN and WGANGP. (#75)

* fix(TimeGAN):  supervised loss computation (#77)

* removing unused argument in build methods

* Fixed supervisor loss temporal alignment

* temporal allignment fix, path fix on example

* path fix on example ipynb

* docs: add contributing, support and license and minor changes (#78)

* minor changes on quick start and project resources
* add contributing guidelines
* add support and licensing info

* fix: Custom loss function. Example update. (#79)

Co-authored-by: Francisco Santos <36741643+jfsantos-ds@users.noreply.github.com>
Co-authored-by: Arunn Thevapalan <arunn.work@gmail.com>
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2 participants