Regression ========== .. automodule:: bluemist.regression.regressor :members: :undoc-members: :show-inheritance: :exclude-members: get_regressor_class, import_mlflow, initialize_mlflow, measure_execution_time GPU Acceleration ---------------- - If your system is equipped with an NVIDIA GPU and you want to utilize GPU acceleration for model training, you can install the RAPIDS cuML package by executing the following command: ``pip install cudf-cu11 cuml-cu11 --extra-index-url=https://pypi.nvidia.com`` | - The `cuml` package provides GPU-accelerated implementations of various machine learning algorithms. By installing this package, you can leverage the power of your GPU to significantly improve the speed and performance of your machine learning workflows. - For the list of supported algorithms, please refer https://docs.rapids.ai/api/cuml/stable/api/#regression-and-classification - Acceleration extensions can ben enabled by passing the parameter ``enable_acceleration_extensions=True`` during the ``initialize`` phase. .. raw:: html :file: ../code_samples/quickstarts/regression/regression_gpu_acceleration_nvidia.html CPU Acceleration ---------------- - If your system is equipped with an Intel CPU and you want to utilize CPU acceleration for model training, you can install the IntelĀ® Extension for Scikit-learn package by executing the following command: ``pip install -U scikit-learn-intelex`` | - The `scikit-learn-intelex` package provides CPU-accelerated implementations of Scikit-learn algorithms. By installing this package, you can leverage the power of your Intel CPU to significantly improve the speed and performance of your machine learning workflows. - For the list of supported algorithms, please refer to the [IntelĀ® Extension for Scikit-learn documentation](https://intel.github.io/scikit-learn-intelex/algorithms.html#on-cpu). - Acceleration extensions can ben enabled by passing the parameter ``enable_acceleration_extensions=True`` during the ``initialize`` phase. .. raw:: html :file: ../code_samples/quickstarts/regression/regression_cpu_acceleration_intel.html