Project name of "deepkit" changes nested directory behavior
A logical name to keep DeepKit configuration files within a project would be nested in a subdirectory called deepkit. However, using this convention on a DeepKit server causes inconsistency with deepkit.yml config values.
Server Example
For example, say we're training a model in a parent repo of https://github.com/username/MyNetwork.git
If we create a directory ./deepkit and put deepkit.yml there, DeepKit can't seem to find the configuration. Notice the [object Object] placeholder value.
./MyNetwork
└── deepkit
└── deepkit.yml

But if we duplicate the same deepkit.yml file and nest it under ./deepkit/train, DeepKit is able to find the config
./MyNetwork
└── deepkit
└── train
└── deepkit.yml

GUI Example
This also happens when using the GUI on localhost to manage a Project - but it is affected one level higher in the directory structure (so that the [object Object] placeholder value appears if ./deepkit.yml is in the root of the project:
./MyNetwork
└── deepkit.yml
Summary
One solution is to make sure that DeepKit configuration files are not organized under a directory named deepkit . However, unless the directory name deepkit needs to be reserved, it might cause less confusion to correct this behavior so that experiments are not affected by this.
@planetceres thanks for the detailed description. Could you also please post your deepkit.yml content? I wonder if training is an actual config value defined in the file, what content it has, and if training is correctly displayed when the bug is not seen.
While the example I showed above is a private project, this same behavior happens with the default examples in this repo and the deepkit python-sdk. The only difference is that I've had to replace parameters with config.
distributed-simple/deepkit.yml
image: python:3.7.0-alpine3.8
docker:
binds:
- /home/user/deepkit/deepkit-python-sdk/:/deepkit-sdk
env:
- PYTHONPATH=/deepkit-sdk
config:
lr: 50
optimizer: sgd
training:
epochs: 50
samples: 20
tasks:
...
training:
epochs: 50
samples: 20
this results always in [object Object] as nested objects are not supported in the create-experiment view. I tried your example with deepkit/deepkit.yml and it correctly displays the configuration in the create-experiment view (except the training entry config option).

I don't understand your example to be honest. You have shown two screenshots of different configurations. num-machines as of the second screenshot is not in your posted deepkit.yml, so I don't understand the reproduction case.
If we create a directory ./deepkit and put deepkit.yml there, DeepKit can't seem to find the configuration
But you showed a screenshot of this configuration, so Deepkit found it. I really don't get that bug. You said Deepkit doesnt find the configuration, yet you created a screenshot of this very configuration in the GUI. What exactly do you mean with "Deepkit can't seem to find it"?