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Patrick Schratz pat-s cynkra GmbH Zurich, CH https://pat-s.me Machine learning & open-source development, #rstats

christophM/iml 370

iml: interpretable machine learning R package

krlmlr/dm 247

Relational data models

maxheld83/ghactions 158

GitHub actions for R and accompanying R package

krlmlr/fledge 90

Wings for your R packages: Streamline the process of versioning R packages and updating NEWS

Coorsaa/shinyMlr 87

shiny-mlr: Integration of the mlr package into shiny

mlr-org/mlr3proba 38

Probabilistic Supervised Learning for mlr3

pat-s/alfred-r 30

#rstats Alfred workflow

mlr-org/mlr3spatiotempcv 27

Spatiotemporal resampling methods for mlr3

pat-s/2019-feature-selection 24

Research project

mlr-archive/mlr-tutorial 22

The mlr package online tutorial

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issue commentchristophM/iml

can't calculate Accumulated local effects or Shapley values for a Random Forest model generated from `ranger` package?

Hi, you need to manually set the predict function like this:

pfun <- function(object, newdata) predict(object, data = newdata)$predictions

model = Predictor$new(rf, data = X, y = Boston$medv, predict.fun = pfun)

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Africa using json

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fixing if

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using Json for Mauritius

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issue openedmlr-org/mlr

RLearner_regr_gausspr.R

Dear Prof I really enjoy your R code: RLearner_regr_gausspr.R. I wonder how can I tune the hyperparameter (sigma)? Besides, do you have the demo to run R code in RLearner_regr_gausspr.R? Thank you very much!

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data_all.csv not updated since 1/14/21

Hello @janinewhite , this will be updated in due time. Thank you for your patience :)

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testing Africa

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