hai_kmeans_automl_predict {healthyR.ai} | R Documentation |
Automatic K-Means H2O
Description
This is a wrapper around the h2o::h2o.predict()
function that will return a list
object with a lot of useful and easy to use tidy style information.
Usage
hai_kmeans_automl_predict(.input)
Arguments
.input |
This is the output of the |
Details
This function will internally take in the output assigned from the
hai_kmeans_automl()
function only and return a list of useful
information. The items that are returned are as follows:
prediction - The h2o dataframe of predictions
prediction_tbl - The h2o predictions in tibble format
valid_tbl - The validation data in tibble format
pred_full_tbl - The entire validation set with the predictions attached using
base::cbind()
. The predictions are in a column calledpredicted_cluster
and are in the formate of a factor usingforcats::as_factor()
Value
A list object
Author(s)
Steven P. Sanderson II, MPH
See Also
Other Kmeans:
hai_kmeans_automl()
,
hai_kmeans_mapped_tbl()
,
hai_kmeans_obj()
,
hai_kmeans_scree_data_tbl()
,
hai_kmeans_scree_plt()
,
hai_kmeans_tidy_tbl()
,
hai_kmeans_user_item_tbl()
Examples
## Not run:
h2o.init()
output <- hai_kmeans_automl(
.data = iris,
.predictors = c("Sepal.Width", "Sepal.Length", "Petal.Width", "Petal.Length"),
.standardize = FALSE
)
pred <- hai_kmeans_automl_predict(output)
h2o.shutdown()
## End(Not run)