JsonBoard 0.2.0

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 expected 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

{
    "step": 1000,
    "values": {
        "training/accuracy": 0.9
    }
}
{
    "step": 2000,
    "values": {
        "training/accuracy": 0.5
    }
}
{
    "step": 3000,
    "values": {
        "training/accuracy": 0.5
    }
}
{
    "step": 4000,
    "values": {
        // sometimes values may also be missing
    }
}
{
    "step": 5000,
    "values": {
        "training/accuracy": 0.2
    }
}

Run the server

jsonboard --input /pth/to/main_directory

Additional parameters

jsonboard --help