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<p>(This page is automatically generated, please contact Python Engine maintainers to change this page)</p><p>Every Every version of the Python Engine engine comes with 3 flavours:</p><div class="table-wrap"><table data-layout="default" data-local-id="e4b0d83c-beab-48c0-a7ac-86ee2847e05a" class="confluenceTable"><colgroup><col style="width: 380.0px;"/><col style="width: 380.0px;"/></colgroup><tbody><tr><th class="confluenceTh"><p><strong>Image</strong></p></th><th class="confluenceTh"><p><strong>Description</strong></p></th></tr><tr><td class="confluenceTd"><p><code>pyfx</code></p></td><td class="confluenceTd"><p>Minimal image containing only the <code>pyfx</code>

Image

Description

pyfx

Minimal image containing only the pyfx Python module and required dependencies.

...

datascience

Image containing pyfx and common data science Python libraries.

...

neural

Image containing pyfx, common data science libraries and neural network related libraries.

...

For v4, those flavours contains the following libraries (and their dependencies):</p><ul><li><p><code>pyfx</code>

  • pyfx contains:

...

    • python = "3.10."

    • setuptools

    • filelock

    • numpy

    • pandas

    • fastavro

    • requests

    • requests-toolbelt

    • SecretStorage

  • datascience contains pyfx libraries and dependencies, plus the following:

...

    • dython,

    • eli5,

    • graphviz,

    • igraph,

    • imbalanced-learn,

    • jpmml-evaluator,

    • leidenalg,

    • lightgbm,

    • matplotlib,

    • onnxmltools,

    • onnxruntime,

    • optuna,

    • pynndescent,

    • umap-learn,

    • sacred,
      scipy,

    • shap,

    • SQLAlchemy,

    • scikit-learn,

    • sklearn-pandas,

    • sklearn2pmml,

    • statsmodels,

    • sympy,

    • xgboost,

  • neural contains pyfx and datascience libraries and dependencies, plus the following:

    • BERTopic,

    • darts,

    • inflect

    • neuralprophet,

    • sentence-transformers,

    • tensorflow,

    • torch,

    • torchviz