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squlearn


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Author: David Kreplin
Summary: A library for quantum machine learning following the scikit-learn standard.
Latest version: 0.11.2
Required dependencies: bayesian-optimization | dill | mapomatic | networkx | numpy | pennylane | qiskit | qiskit-aer | qiskit-algorithms | qiskit-ibm-runtime | qiskit-machine-learning | qulacs | scikit-learn | scipy | sympy | tqdm
Optional dependencies: black | flit | ipykernel | jupyter | jupyter-sphinx | matplotlib | mlflow | myst-parser | nbmake | nbsphinx | nbsphinx-link | numpy | pandas | pylatexenc | pylint | pytest | scikit-learn | scikit-optimize | seaborn | sphinx | sphinx-rtd-theme | sphinx-sitemap | sphinxcontrib-spelling

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