crandas.crlearn *************** The module ``crandas.crlearn`` provides the following functionality: Machine learing models: - :ref:`crlearn_linreg` - :ref:`crlearn_logreg` - :ref:`crlearn_rf` - :ref:`crlearn_knn` General: - :ref:`crlearn_model` - :ref:`crlearn_metrics` - :ref:`crlearn_utility` - :ref:`crlearn_optimizer` .. _crlearn_model: Model interface --------------- .. automodule:: crandas.crlearn.model :members: :show-inheritance: .. _crlearn_metrics: Metrics ------- .. automodule:: crandas.crlearn.metrics :members: :show-inheritance: .. _crlearn_utility: Utility functions ----------------- .. automodule:: crandas.crlearn.utils :members: :show-inheritance: .. _crlearn_linreg: Linear regression ----------------- .. automodule:: crandas.crlearn.linear_model :members: :show-inheritance: .. _crlearn_logreg: Logistic regression ------------------- .. automodule:: crandas.crlearn.logistic_regression :members: :show-inheritance: .. _crlearn_rf: Random forest classifier ------------------------ .. automodule:: crandas.crlearn.ensemble :members: :show-inheritance: .. _crlearn_knn: k-nearest neighbours regressor ------------------------------- .. automodule:: crandas.crlearn.neighbors :members: :show-inheritance: .. _crlearn_optimizer: Optimizer settings ------------------ Settings of optimizers used e.g. in logistic regression models. Whenever a value for a parameter is not given, the engine uses a default value if one is available. .. automodule:: crandas.crlearn.optimizer :members: :show-inheritance: .. to add a new module you need to reference the python file instead of the folder (see VDL client)