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Model Configuration Loader

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Loads and instantiates python classes from a configuration file.

Features

  • Auto class instantiation from json configuration

  • Read configuration from archives

  • Load dependencies between classes

  • Load configuration parameter as class or as object

Installation

pip install cfloader

Usage

Create a configuration file with parameters:

{
    "model": {
        "model_name": "SomeClass",
        "param_1": 20
    },
    "epochs": 10
}

Now you can load the configuration parameters, either as primitive dicts or as a class:

import cfloader

class SomeClass:
    def __init__(self, param_1):
        self.param_1 = param_1

loader = cfloader.open("config.json")
num_epochs = loader.load("epochs") # = int(10)
model_param_1 = loader.load("model.param_1") # = int(20)
model_configuration = loader.load("model") # = {"model_name": "SomeClass", "param_1": 20}
model_class = loader.load("model", as_class=True) # = <SomeClass object (param_1 = 20)>

For a more extensive example, see examples/pytorch/example_pytorch.py.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2020-10-06)

  • First release on PyPI.

Release files for cfloader 0.1.4

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