ml_unsupervised_tidiers

0th

Percentile

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.

Aliases
  • ml_unsupervised_tidiers
  • tidy.ml_model_kmeans
  • augment.ml_model_kmeans
  • glance.ml_model_kmeans
  • tidy.ml_model_bisecting_kmeans
  • augment.ml_model_bisecting_kmeans
  • glance.ml_model_bisecting_kmeans
  • tidy.ml_model_gaussian_mixture
  • augment.ml_model_gaussian_mixture
  • glance.ml_model_gaussian_mixture
Documentation reproduced from package sparklyr, version 1.0.3, License: Apache License 2.0 | file LICENSE

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