Quosured argument changes

[topepo]

• Tests are updated for the new approach of capturing arguments as quosures as well as the removal of others().

• Instead of creating a new, clean environment, we go back to creating a child of the current environment. The clean environment had issues with some packages not importing (or calling by namespace) functions from stats such as model.frame.

• Fixed glmnet prediction issues. The predict method for model_fit uses the model specification to get the lambda to predictive with. In this branch, all arguments are quosures so this fails. The glmnet-specific predict method evaluate the specification arguments before predicting.

• varying_args() now works for complex arguments such as sampsize = c(12, varying()).

• Model wrappers for C5.0, keras, and xgboost are documented.

[codecov-io]

Codecov Report

❗ No coverage uploaded for pull request base (quosure-passthrough@59f0c66). Click here to learn what that means.
The diff coverage is 87.23%.

@@                  Coverage Diff                   @@
##             quosure-passthrough      #94   +/-   ##
======================================================
  Coverage                       ?   72.55%           
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  Files                          ?       30           
  Lines                          ?     2190           
  Branches                       ?        0           
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  Hits                           ?     1589           
  Misses                         ?      601           
  Partials                       ?        0

Impacted Files	Coverage Δ
R/boost_tree.R	83.58% <ø> (ø)
R/mlp_data.R	78.94% <ø> (ø)
R/fit.R	79.11% <100%> (ø)
R/surv_reg.R	84% <100%> (ø)
R/linear_reg.R	75.86% <100%> (ø)
R/logistic_reg.R	67.56% <100%> (ø)
R/multinom_reg.R	78.74% <71.42%> (ø)
R/arguments.R	64.06% <85.71%> (ø)
R/varying.R	89.85% <90%> (ø)

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[github-actions]

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