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partial does not work well with training data stored as a tibble #59

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bgreenwell opened this issue Dec 6, 2017 · 0 comments

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bgreenwell commented Dec 6, 2017

# Load required packages
library(pdp)
library(randomForest)
library(tibble)

# Load data
data(boston)
trn <- as.tibble(boston)  # convert to a tibble

# Fit a random forest
rf <- randomForest(cmedv ~ ., data = trn)

# Construct a partial dependence plot for lstat
partial(rf, pred.var = "lstat", plot = TRUE)  # blank!!

gamrot mentioned this issue

Ability to use models built in caret and pdp #62

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bgreenwell closed this

bgreenwell mentioned this issue

partial() does not work well with tibbles #76

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