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8fe439998e
Signed-off-by: Kai Fricke coding@kaifricke.com Why are these changes needed? Splitting up #26884: This PR includes changes to use Tuner() instead of tune.run() for most docs files (rst and py), and a change to move reuse_actors to the TuneConfig
32 lines
898 B
Python
32 lines
898 B
Python
from ray import tune
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from ray.air import session
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def objective(step, alpha, beta):
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return (0.1 + alpha * step / 100) ** (-1) + beta * 0.1
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def training_function(config):
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# Hyperparameters
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alpha, beta = config["alpha"], config["beta"]
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for step in range(10):
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# Iterative training function - can be any arbitrary training procedure.
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intermediate_score = objective(step, alpha, beta)
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# Feed the score back back to Tune.
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session.report({"mean_loss": intermediate_score})
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tuner = tune.Tuner(
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training_function,
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param_space={
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"alpha": tune.grid_search([0.001, 0.01, 0.1]),
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"beta": tune.choice([1, 2, 3]),
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},
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)
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results = tuner.fit()
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best_result = results.get_best_result(metric="mean_loss", mode="min")
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print("Best result: ", best_result.metrics)
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# Get a dataframe for analyzing trial results.
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df = results.get_dataframe()
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