.. _f-logreg: module ml.logreg ==================== Short summary +++++++++++++ module mlstatpy.ml.logreg Helpers on logistic regression. :githublink:%|py|5 Functions +++++++++ +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | function | truncated documentation | +==========================================================+=====================================================================================================================================================+ | :func:criteria  | Computes Gini, information gain, likelihood on a dataset with two features assuming the first coordinates is used to ... | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | :func:criteria2  | Computes Gini, information gain, likelihood on a dataset with two features assuming the first coordinates is used to ... | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | :func:likelihood  | Computes :math:\sum_i y_i f(\theta (x_i - x_0)) + (1 - y_i) (1 - f(\theta (x_i - x_0))) where :math:f(x_i) is :math:\frac{1}{1 + e^{-x}}. ... | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | :func:logistic  | Computes :math:\frac{1}{1 + e^{-x}}. | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | :func:plog2  | Computes :math:x \ln_2 x. | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | :func:plot_ds  | Plots a dataset, *X* is a dataset with two features, *y* contains the binary labels. | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ | :func:random_set_1d  | Builds a random dataset as describes in example :ref:l-example-logistic-decision. | +----------------------------------------------------------+-----------------------------------------------------------------------------------------------------------------------------------------------------+ Documentation +++++++++++++ .. automodule:: mlstatpy.ml.logreg :members: :special-members: __init__ :show-inheritance: