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  1. pypi.org › project › deep-forestdeep-forest · PyPI

    Installation. DF21 can be installed using pip via PyPI which is the package installer for Python. You can use pip to install packages from the Python Package Index and other indexes. Refer this for the documentation of pip. Use this command to download DF21 : pip install deep-forest.

  2. pip install DeepForest. DeepForest itself is pure Python and will work on all major operating systems, but has spatial and deep learning dependencies that can be harder to install, particularly on Windows.

  3. Installation Guide ¶. Stable Version ¶. The stable version is available via using: $ pip install deep-forest. The package is portable and with very few package dependencies. It is recommended to use the package environment from since it already installs all required packages.

  4. 1 Φεβ 2021 · DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than existing tree-based ensemble methods. Easy to Use: Less efforts on tunning parameters. Efficient: Fast training speed and high efficiency. Scalable: Capable of handling large-scale data.

  5. 1 Φεβ 2021 · DF21 is an implementation of Deep Forest 2021.2.1. It is designed to have the following advantages: Powerful: Better accuracy than existing tree-based ensemble methods. Easy to Use: Less efforts on tunning parameters. Efficient: Fast training speed and high efficiency. Scalable: Capable of handling large-scale data.

  6. It is designed to have the following advantages: • Powerful: Better accuracy than existing tree-based ensemble methods. • Easy to Use: Less efforts on tunning parameters. • Efficient: Fast training speed and high efficiency. • Scalable: Capable of handling large-scale data.

  7. pip install DeepForest. DeepForest itself is pure Python and will work on all major operating systems, but has spatial and deep learning dependencies that can be harder to install, particularly on Windows. To make this easier DeepForest can also be installed using conda and mamba.

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