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Add Spark example using ask-and-tell interface #328
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Add Spark example using ask-and-tell interface
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Fix isort import order and add requirements.txt for Spark ask-and-tel…
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Update spark/ask_and_tell_spark.py
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Update spark/ask_and_tell_spark.py
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Update spark/ask_and_tell_spark.py
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,33 @@ | ||
| """ | ||
| Spark with Ask-and-Tell | ||
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| An example showing how to use Optuna's ask-and-tell interface with Apache Spark | ||
| to distribute the evaluation of trials. | ||
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| This script uses PySpark's RDD to parallelize a simple quadratic function. | ||
| """ | ||
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| import optuna | ||
| from pyspark.sql import SparkSession | ||
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| def evaluate(x): | ||
| return (x - 2) ** 2 # Simulate a trial evaluation on a Spark worker node | ||
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| if __name__ == "__main__": | ||
| spark = SparkSession.builder.appName("OptunaSparkExample").getOrCreate() | ||
| study = optuna.create_study() | ||
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| for i in range(20): | ||
| trial = study.ask() | ||
| x = trial.suggest_float("x", -10, 10) | ||
| rdd = spark.sparkContext.parallelize([x]) | ||
| result = rdd.map(evaluate).collect()[0] | ||
| study.tell(trial, result) | ||
| print(f"Trial#{trial.number}: {x=:.4e}, {result=:.4e}") | ||
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| print("\nBest trial:") | ||
| print(f"\tValue: {study.best_value}") | ||
| print(f"\tParams: {study.best_trial.params}") | ||
| spark.stop() | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,2 @@ | ||
| optuna | ||
| pyspark # used for SparkSession and RDD parallelism |
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