Teradata R Package Function Reference | 17.00 - 17.00 - td_list_models - Teradata R Package

Teradata® R Package Function Reference
prodname
Teradata Package for R
vrm_release
17.00
created_date
September 2020
category
Programming Reference
featnum
B700-4007-090K

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.
Specifies the search string for model name.
When this argument is used, all models matching the name are listed.
The search is case-insensitive.
Types: character

algorithm.name

Optional Argument.
Specifies the search string for the analytic function name.
When this argument is used, all models matching it are listed.
The search is case-insensitive.
Types: character

engine

Optional Argument.
Specifies the model generating engine as a filter.
The search is case-insensitive.
Permitted Values: "ML Engine", "MLE", "Advanced SQL Engine", "SQLE"
Types: character

accessible

Optional Argument.
Specifies whether to list all models that the user has access to, or only the models that the user created.
When TRUE, all models which the user has access to are listed.
When FALSE, only models created by the user are listed.
Default Value: TRUE
Types: logical

public

Optional Argument.
Specifies whether to filter only those models that have public access.
Default Value: FALSE
Types: logical

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)