In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.
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Abstract: Spacecraft products undergo various stages of longterm testing, generating large amounts of test data. After each day's testing, the designer need to compile the envelope values of product ...
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TensorFlow, PyTorch, and Keras enable advanced deep learning applications. Scikit-learn, XGBoost, and LightGBM handle structured data efficiently. LangChain, Ollama, and Anthropic SDK support advanced ...