Description
Function to list models accessible to the user and optionally only models created by the user.
Usage
td_list_models( name = NULL, algorithm.name = NULL, engine = NULL, accessible = TRUE, public = FALSE )
Arguments
name |
Optional Argument. |
algorithm.name |
Optional Argument. |
engine |
Optional Argument. |
accessible |
Optional Argument. |
public |
Optional Argument. |
Value
A data.frame representation of the model listing.
Examples
# Get remote data source connection. con <- td_get_context()$connection # Load example data. loadExampleData("glm_example", "admissions_train") # Create object of class "tbl_teradata" to use as input. admissions_train <- tbl(con, "admissions_train") # Create the GLM model. td_glm_out1 <- td_glm_mle(formula = (admitted ~ stats + masters + gpa + programming), family = "LOGISTIC", linkfunction = "LOGIT", data = admissions_train, weights = "1", threshold = 0.01, maxit = 25, step = FALSE, intercept = TRUE ) # Save this generated model. td_save_model(model = td_glm_out1, name = "glm_model", description = "GLM test") # Example 1 - List all models saved and accessible to the current user. td_list_models() # Example 2 - List models accessible to the user with # name = 'glm_model'. td_list_models(name = "glm_model") # Example 3 - List all models accessible to the user with algorithm # name 'GLM'. td_list_models(algorithm.name = "GLM") # Example 4 - List all models accessible to user with algorithm name # 'GLM' and name containing string 'glm'. td_list_models(name = "glm", algorithm.name = "GLM") # Example 5 - List all models accessible to user with algorithm name # 'GLM' and generated using 'ML Engine'. td_list_models(algorithm.name = "GLM", engine = "ML Engine") # Example 6 - List all models created by the user with algorithm name # 'GLM', generated using 'MLE', and access not set to Public. td_list_models(algorithm.name = "GLM", engine = "MLE", accessible = FALSE, public = FALSE)