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Add a new training with another dataset #8

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eyp opened this issue Nov 10, 2020 · 0 comments
Closed

Add a new training with another dataset #8

eyp opened this issue Nov 10, 2020 · 0 comments
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@eyp
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backend Related to the backend client enhancement New feature or request
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Version 0.1

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@eyp
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eyp commented Nov 10, 2020 •
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Now there's only one training with the MNIST dataset, add another different one, and configure a new training to be run with this new dataset. Bear in mind the development to be able to add more datasets/trainings in the future.

The kind of training/dataset must be an option when the client receives a training request.
@eyp eyp added the enhancement New feature or request label Nov 10, 2020
@eyp eyp added this to the Version 1.0 milestone Nov 10, 2020
@eyp eyp self-assigned this Nov 10, 2020
@eyp eyp added backend Related to the backend client labels Nov 10, 2020
@eyp eyp mentioned this issue Nov 10, 2020
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eyp added a commit that referenced this issue Nov 28, 2020
@eyp
#8: Small refactor for decoupling Client & ClientModelTraining
d1baefb 
Renamed client_model_trainer.py to mnist_model_trainer.py
Preparation for adding new trainings
@eyp eyp pinned this issue Nov 28, 2020
eyp added a commit that referenced this issue Nov 30, 2020
@eyp
#8: Better class design for MnistModelTrainer
f05e282
eyp added a commit that referenced this issue Nov 30, 2020
@eyp
#8: Some classes attributes are now local variables
e1b0d4a
eyp added a commit that referenced this issue Nov 30, 2020
@eyp
#8: Introduced ModelTrainer abstract class
32f8e51
eyp added a commit that referenced this issue Dec 1, 2020
@eyp
#8: ModelTrainer class renamed to PyTorchModelTrainer
987a853
eyp added a commit that referenced this issue Dec 6, 2020
@eyp
#8: Added new Chest X-Ray training model
39a9b55
@eyp eyp closed this as completed Dec 6, 2020
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backend Related to the backend client enhancement New feature or request
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