Skip to main content

parameters loader signelton

Project description

paramspy

container for global (Singelton) loading and saving parameters

Usage example

On load, need to be called once:

Params(LOCATION_OF_PARMAS_JSON)

On usage, after calling the above

param_dict=Params()

params.json is a nested parameters json, e.g.;

{
    "data": {
        "granularity": 21600,
        "header": [
            "d_price"
        ],
        "look_back": 42,
        "mean": 6.477538237436277,
        "n_test": 64,
        "std": 257.3105989979195,
        "time_decay_sec": 3000000,
        "weight_bias": 0.1
    },
    "data_collection": {
        "n_record_per_fetch": 280,
        "time_span_days": 20000
    },
    "logging": {
        "model_folder": "models",
        "output_folder": "logdir",
        "plot_every": 32
    },
    "train": {
        "batch_size": 6400,
        "learn_rate": 0.0001,
        "n_epochs": 60000
    }
}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

globalparams-1.0.2.tar.gz (14.8 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page