Nothing
order()
on data.frame
objectsexplain()
will now pass ...
on to the relevant predict()
method (#150)explain.data.frame()
gains a gower_pow
argument to modify the calculated
gower distance before use by raising it to the power of the given value (#158)lime()
now warns when quantile binning is not feasible and uses standard
binning instead (#154)lambda
value in the local model fit to match the one used in the
Python version according to the relationship given here:
https://stats.stackexchange.com/a/270705parsnip
and ranger
preprocess
argument to lime.data.frame
to keep it in line with the
other types. Use it to transform your data.frame into a new input that your
model expects after permutationsmagick
is now only in suggest to cut down on heavy hard dependenciesexplain
now returns a tbl_df
so you get pretty printing if you have
tibble
loadedplot_features
now has a cases
argument for subsetting the data before
plottingplot_image_explanation
(#35)keras
packageas_classifier()
and as_regressor()
for ad-hoc specification of the
model type in case the heuristic implemented in lime
doesn't hold.
as_classifier()
also lets you add/overwrite the class labels.gower
as the new default similarity measure for tabular databin_continuous = FALSE
the default behavior is now to sample from a
kernel density estimation rather than assume a normal distribution.plot_explanations()
(#60)plot_text_explanation()
with better formatting and scrolling
support for many explanationsNEWS.md
file to track changes to the package.NA
values (#8) plot_features()
(#38)h2o
(@mdancho84) (#40)NA
values (#45)Date
and POSIXt
columns. They will be kept constant during
permutations so that lime
will explain the model behaviour at the given
timepoint based on the remaining features (#39).plot_explanations()
for an overview plot of a large explanation setAny scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.