{"id":17334271,"url":"https://github.com/cmower/hyparam","last_synced_at":"2025-03-27T06:45:55.158Z","repository":{"id":164080091,"uuid":"639531228","full_name":"cmower/hyparam","owner":"cmower","description":"Container for hyper parameter tuning in machine 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hyparam\n\nContainer for hyper parameter tuning in machine learning.\n\n# Example\n\n## Load programmatically\n\nYou can add parameters to the parameter search space by using the following methods.\n\n```python\nhp = HyperParameters()\nhp.add_linspace(\"learning_rate\", 0.1, 0.3, 3)\nhp.add_switch(\"use_test_dataset\")\nhp.add_range(\"epochs\", 10, 30, 10)\nhp.add_list(\"myvar\", [1.0, 12.0, 8.0])\n```\n\n## Load from file\n\nYou can instead specify a parameter space in a YAML configuration file.\n\n```yaml\nlearning_rate:\n  type: linspace\n  setup:\n    lower: 0.1\n    upper: 0.3\n    num: 3\n\nuse_test_dataset:\n  type: switch\n\nepochs:\n  type: range\n  setup:\n    start: 10\n    stop: 30\n    step: 10\n\nmyvar:\n  type: list\n  setup:\n    values: [1.0, 12.0, 8.0]\n```\n\nThis is loaded into Python as follows.\n\n```python\nhp = HyperParameters.from_file(file_name)\n```\n\n## Iterating over the parameter space\n\nIn both the above examples, you can iterate over the parameter space using the `choices` method.\nSee the examples in the [example](example/) directory.\nYou should expect the following output when you run these.\n\n```\nchoice(learning_rate=0.1, use_test_dataset=True, epochs=10, myvar=1.0)\nchoice(learning_rate=0.1, use_test_dataset=True, epochs=10, myvar=12.0)\nchoice(learning_rate=0.1, use_test_dataset=True, epochs=10, myvar=8.0)\nchoice(learning_rate=0.1, use_test_dataset=True, epochs=20, myvar=1.0)\nchoice(learning_rate=0.1, use_test_dataset=True, epochs=20, myvar=12.0)\nchoice(learning_rate=0.1, use_test_dataset=True, epochs=20, myvar=8.0)\nchoice(learning_rate=0.1, use_test_dataset=False, epochs=10, myvar=1.0)\nchoice(learning_rate=0.1, use_test_dataset=False, epochs=10, myvar=12.0)\nchoice(learning_rate=0.1, use_test_dataset=False, epochs=10, myvar=8.0)\nchoice(learning_rate=0.1, use_test_dataset=False, epochs=20, myvar=1.0)\nchoice(learning_rate=0.1, use_test_dataset=False, epochs=20, myvar=12.0)\nchoice(learning_rate=0.1, use_test_dataset=False, epochs=20, myvar=8.0)\nchoice(learning_rate=0.2, use_test_dataset=True, epochs=10, myvar=1.0)\nchoice(learning_rate=0.2, use_test_dataset=True, epochs=10, myvar=12.0)\nchoice(learning_rate=0.2, use_test_dataset=True, epochs=10, myvar=8.0)\nchoice(learning_rate=0.2, use_test_dataset=True, epochs=20, myvar=1.0)\nchoice(learning_rate=0.2, use_test_dataset=True, epochs=20, myvar=12.0)\nchoice(learning_rate=0.2, use_test_dataset=True, epochs=20, myvar=8.0)\nchoice(learning_rate=0.2, use_test_dataset=False, epochs=10, myvar=1.0)\nchoice(learning_rate=0.2, use_test_dataset=False, epochs=10, myvar=12.0)\nchoice(learning_rate=0.2, use_test_dataset=False, epochs=10, myvar=8.0)\nchoice(learning_rate=0.2, use_test_dataset=False, epochs=20, myvar=1.0)\nchoice(learning_rate=0.2, use_test_dataset=False, epochs=20, myvar=12.0)\nchoice(learning_rate=0.2, use_test_dataset=False, epochs=20, myvar=8.0)\nchoice(learning_rate=0.3, use_test_dataset=True, epochs=10, myvar=1.0)\nchoice(learning_rate=0.3, use_test_dataset=True, epochs=10, myvar=12.0)\nchoice(learning_rate=0.3, use_test_dataset=True, epochs=10, myvar=8.0)\nchoice(learning_rate=0.3, use_test_dataset=True, epochs=20, myvar=1.0)\nchoice(learning_rate=0.3, use_test_dataset=True, epochs=20, myvar=12.0)\nchoice(learning_rate=0.3, use_test_dataset=True, epochs=20, myvar=8.0)\nchoice(learning_rate=0.3, use_test_dataset=False, epochs=10, myvar=1.0)\nchoice(learning_rate=0.3, use_test_dataset=False, epochs=10, myvar=12.0)\nchoice(learning_rate=0.3, use_test_dataset=False, epochs=10, myvar=8.0)\nchoice(learning_rate=0.3, use_test_dataset=False, epochs=20, myvar=1.0)\nchoice(learning_rate=0.3, use_test_dataset=False, epochs=20, myvar=12.0)\nchoice(learning_rate=0.3, use_test_dataset=False, epochs=20, myvar=8.0)\n```\n\n# Install\n\n## From source\n\nIn a new terminal:\n1. Clone repository:\n   - (ssh) `$ git clone git@github.com:cmower/hyparam.git`, or\n   - (https) `$ git clone https://github.com/cmower/hyparam.git`\n2. Change directory: `$ cd hyparam`\n3. Ensure `pip` is up-to-date: `$ python -m pip install --upgrade pip`\n3. Install: `$ pip install .`\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmower%2Fhyparam","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcmower%2Fhyparam","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcmower%2Fhyparam/lists"}