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At the moment, it is only possible to use randomly generated experiments from the implementation.
💡 Feature Request
We need to load experiments created by a niceML project into the dashboard. It should be possible to load the experiments from different locations, e.g. from a local directory or a cloud resource such as S3, Minio or Azure Blob Storage.
🌍 Context
No response
🔍 Additional Information
The implementation could be something like that:
classDiagram
class Experiment{
+ str exp_id
+ str git_version
+ str description
+ ...
}
class CustomExperiment{
+ Any custom_attribute
}
Experiment <|-- CustomExperiment
class ExperimentManager{
+ filter_by(**filters)
}
class ExperimentLoader{
+ load_experiments*()
}
<<Abstract>>ExperimentLoader
ExperimentManager *--ExperimentLoader
ExperimentManager "0..1" --> "*" Experiment
class CustomExperimentLoader{
+ load_experiments()
}
ExperimentLoader <|-- CustomExperimentLoader
class ImageLoader{
+ LocationConfig images_location
+ load_image*()
}
<<Abstract>>ImageLoader
class DataFrameLoader{
+ LocationConfig data_frames_location
+ load_data_frame*()
}
<<Abstract>>DataFrameLoader
ExperimentLoader *--ImageLoader
ExperimentLoader *--DataFrameLoader
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👍 Code of Conduct
I agree to follow this project's Code of Conduct
The text was updated successfully, but these errors were encountered:
✏️ Problem Description
At the moment, it is only possible to use randomly generated experiments from the implementation.
💡 Feature Request
We need to load experiments created by a niceML project into the dashboard. It should be possible to load the experiments from different locations, e.g. from a local directory or a cloud resource such as S3, Minio or Azure Blob Storage.
🌍 Context
No response
🔍 Additional Information
The implementation could be something like that:
👍 Code of Conduct
The text was updated successfully, but these errors were encountered: