JsonBoard 0.2.1

Data visualization tool based on JSON files.

jsonboard

Fancy interface for ML experiments based on JSONL log files.

Install

pip install jsonboard

Logging directory

JsonBoard expects the logging directory to be structured like the following:

main_directory
├── experiment_name_1
│   ├── version_0
│   │   ├── hparams.json
│   │   ├── meta.json
│   │   └── data.jsonl
│   └── version_1
│       ├── hparams.json
│       └── data.jsonl
├── experiment_name_1
│   └── version_0
│       └── data.jsonl
└── ...

Examples

hparams.json

{

    "learning_rate": 1e-05,
    "batch_size": 32,
    "devices": 8,
    "accelerator": "gpu",
    "num_warmup_steps": 10000,
    "max_steps": 100000,
    "alpha": 0.5,
    "train_filepath": "datasets/wikiqa"
}

meta.json

{
    "environment": "google_cloud"
}

data.jsonl

Some field may even be null, the corresponding points will not be plotted.

{ "step": 1000, "training/accuracy": 0.9 }
{ "step": 2000, "training/accuracy": 0.7 }
{ "step": 3000, "training/accuracy": 0.6 }
{ "step": 4000, "training/accuracy": 0.4 }
{ "step": 5000, "training/accuracy": 0.3 }
{ "step": 6000, "training/accuracy": 0.1 }
{ "step": 7000, "training/accuracy": null }
{ "step": 7000 }

Run the server

jsonboard --input /pth/to/main_directory

Additional parameters

jsonboard --help