ModelOriented / DALEX

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man/dragons.Rd has changed.
R/data_dragons.R has changed.

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#'
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#' This function calculates explanations on a dataset level set that explore model response as a function of selected variables.
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#' The explanations can be calulated as Partial Dependence Profile or  Accumulated Local Dependence Profile.
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#' Find information how to use this function here: \url{http://ema.drwhy.ai/partialDependenceProfiles.html}.
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#' Find information how to use this function here: \url{https://ema.drwhy.ai/partialDependenceProfiles.html}.
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#' The \code{variable_profile} function is a copy of \code{model_profile}.
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#'
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#' Underneath this function calls the \code{\link[ingredients]{partial_dependence}} or
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#' @return An object of the class \code{model_profile}.
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#' It's a data frame with calculated average model responses.
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#'
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{http://ema.drwhy.ai/}
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{https://ema.drwhy.ai/}
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#'
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#' @name model_profile
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#' @examples

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#'
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#' This function calculated individual profiles aka Ceteris Paribus Profiles.
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#' From DALEX version 1.0 this function calls the \code{\link[ingredients]{ceteris_paribus}} from the \code{ingredients} package.
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#' Find information how to use this function here: \url{http://ema.drwhy.ai/ceterisParibus.html}.
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#' Find information how to use this function here: \url{https://ema.drwhy.ai/ceterisParibus.html}.
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#'
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#' @param explainer a model to be explained, preprocessed by the \code{explain} function
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#' @param new_observation a new observation for which predictions need to be explained
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#' @return An object of the class \code{ceteris_paribus_explainer}.
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#' It's a data frame with calculated average response.
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#'
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{http://ema.drwhy.ai/}
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{https://ema.drwhy.ai/}
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#' @export
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#'
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#' @examples

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#' \item \code{type} - character that specifies type of the task.
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#' }
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#'
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{http://ema.drwhy.ai/}
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{https://ema.drwhy.ai/}
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#' @importFrom stats median weighted.mean
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#' @export
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#' @examples

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#' \item \code{model_info} named list contating basic information about model, like package, version of package and type.
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#' }
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#'
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#' @references Explanatory Model Analysis. Explore, Explain and Examine Predictive Models. \url{http://ema.drwhy.ai/}
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#' @references Explanatory Model Analysis. Explore, Explain and Examine Predictive Models. \url{https://ema.drwhy.ai/}
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#' @rdname explain
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#' @export
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#' @importFrom stats predict

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#' This function performs local diagnostic of residuals.
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#' For a single instance its neighbors are identified in the validation data.
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#' Residuals are calculated for neighbors and plotted against residuals for all data.
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#' Find information how to use this function here: \url{http://ema.drwhy.ai/localDiagnostics.html}.
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#' Find information how to use this function here: \url{https://ema.drwhy.ai/localDiagnostics.html}.
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#'
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#' @param explainer a model to be explained, preprocessed by the 'explain' function
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#' @param new_observation a new observation for which predictions need to be explained
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#' @return An object of the class 'predict_diagnostics'.
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#' It's a data frame with calculated distribution of residuals.
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#'
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{http://ema.drwhy.ai/}
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#' @references Explanatory Model Analysis. Explore, Explain, and Examine Predictive Models. \url{https://ema.drwhy.ai/}
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#' @export
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#' @importFrom stats ks.test
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#' @importFrom graphics plot

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