tests/testthat/_snaps/gradientForest.md

In gradientForest: Random Forest functions for the Census of Marine Life synthesis project.

gradientForest fits

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BGxpc3QAAAD+

A forest of 10 regression trees for each of 10 species

Call:

gradientForest(data = data.frame(Ysimulation, Xsimulation), predictor.vars = preds, 
    response.vars = specs, ntree = 10)



Important variables:
[1] B A J D C

invalid col names can be handled

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dAAAAP4=

A forest of 10 regression trees for each of 10 species

Call:

gradientForest(data = XY, predictor.vars = preds_inv, response.vars = specs_inv, 
    ntree = 10, check.names = FALSE)



Important variables:
[1] B            invalid pred J            D            C

uninformative predictors don't break GF

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A forest of 10 regression trees for each of 4 species

Call:

gradientForest(data = data.frame(Ysimulation, Xsimulation_uninformative), 
    predictor.vars = preds, response.vars = specs, ntree = 10)



Important variables:
[1] B G E D C

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AAAAAUoAAAD+

WAoAAAACAAQBAQACAwAAAAMTAAAACgAAAA4AAABkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
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gradientForest documentation built on Aug. 24, 2023, 3:03 p.m.