gcat_create_model: Creates a model

In justinjm/googleCloudAutoMLTablesR: Google Cloud AutoML Tables API Into R

Creates a model

Description

Returns a Model in the responsefield when it completes. When you create a model, several model evaluations are created for it: a global evaluation, and one evaluation for each annotation spec.

Usage

gcat_create_model(
  projectId = gcat_project_get(),
  locationId = gcat_region_get(),
  datasetDisplayName = gcat_get_global_dataset(),
  columnDisplayName,
  modelDisplayName,
  trainBudgetMilliNodeHours = NULL,
  optimizationObjective = NULL,
  targetColumnSpecName = NULL
)

Arguments

projectId	GCP project id
locationId	location of GCP resources
datasetDisplayName	the full name of your dataset
columnDisplayName	the full name of the label or target
modelDisplayName	the name of the model shown in the interface
trainBudgetMilliNodeHours	number of milli-node-hours for training. For example, 1000 = 1 hour.
optimizationObjective	with the metric to optimize (optional). See https://cloud.google.com/automl-tables/docs/train#opt-obj
targetColumnSpecName	with the full column name of your target column (optional).

See Also

Other Model functions: gcat_batch_predict(), gcat_get_model(), gcat_list_model_evaluations(), gcat_list_models()

justinjm/googleCloudAutoMLTablesR documentation built on Jan. 11, 2023, 7:38 p.m.