ml_one_vs_rest(x, classifier, response, features, ml.options = ml_options(), ...)
tbl_spark
).only.model
parameter supplied with ml_options
.response
is a formula, it is used in preference to other
parameters to set the response
, features
, and intercept
parameters (if available). Currently, only simple linear combinations of
existing parameters is supposed; e.g. response ~ feature1 + feature2 + ...
.
The intercept term can be omitted by using - 1
in the model fit.ml_options
for more details.data
argument can be used to
specify the data to be used when x
is a formula; this allows calls
of the form ml_linear_regression(y ~ x, data = tbl)
, and is
especially useful in conjunction with do
.ml_als_factorization
,
ml_decision_tree
,
ml_generalized_linear_regression
,
ml_gradient_boosted_trees
,
ml_kmeans
, ml_lda
,
ml_linear_regression
,
ml_logistic_regression
,
ml_multilayer_perceptron
,
ml_naive_bayes
, ml_pca
,
ml_random_forest
,
ml_survival_regression