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PySR is an open-source tool for Symbolic Regression: a machine learning task where the goal is to find an interpretable symbolic expression that optimizes some objective.
Julia is a high-level, high-performance dynamic language for technical computing. org. This is the GitHub repository of Julia source code, including instructions for compiling and installing Julia, below.
Apache MXNet is a deep learning framework designed for both efficiency and flexibility. It allows you to mix symbolic and imperative programming to maximize efficiency and productivity.
In this example, we use the Julia module PythonCall from a Pluto notebook to inspect the Iris dataset: - We load the Iris dataset as a Julia DataFrame using RDatasets. - We use pytable(df) to convert it to a Python Pandas DataFrame.