Creates a model

Source: R/models.R

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.

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()