ml_unsupervised_tidiers
From sparklyr v1.0.3
by Javier Luraschi
Tidying methods for Spark ML unsupervised models
These methods summarize the results of Spark ML models into tidy forms.
Usage
# S3 method for ml_model_kmeans
tidy(x, ...)# S3 method for ml_model_kmeans
augment(x, newdata = NULL, ...)
# S3 method for ml_model_kmeans
glance(x, ...)
# S3 method for ml_model_bisecting_kmeans
tidy(x, ...)
# S3 method for ml_model_bisecting_kmeans
augment(x, newdata = NULL, ...)
# S3 method for ml_model_bisecting_kmeans
glance(x, ...)
# S3 method for ml_model_gaussian_mixture
tidy(x, ...)
# S3 method for ml_model_gaussian_mixture
augment(x, newdata = NULL, ...)
# S3 method for ml_model_gaussian_mixture
glance(x, ...)
Arguments
- x
a Spark ML model.
- ...
extra arguments (not used.)
- newdata
a tbl_spark of new data to use for prediction.
Community examples
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