create_emulators_from_database_experiments: Takes a list of database experiment ID's and creates...

Description Usage Arguments

Description

Takes a list of database experiment ID's and creates emulators from that stored data

Usage

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create_emulators_from_database_experiments(dblink, parameters, measures,
  emulator_list, percent_train = 75, percent_test = 15,
  percent_validation = 10, normalise_set = FALSE, experiment_id)

Arguments

dblink

A link to the database in which this table is being created

parameters

The parameters of the simulation that are being analysed

measures

The measures of the simulation that are being assessed

emulator_list

Vector of the types of emulation model to create. Accepted abbreviations are: SVM (Support-Vector Machine), GP (Gaussian Process Model), NNET (Neural Network), RF (Random Forest), GLM (General Linear Model)

percent_train

Percent of the dataset to use as training

percent_test

Percent of the dataset to use as testing

percent_validation

Percent of the dataset to use as validation

normalise_set

Whether data retrieved from the database should be normalised

experiment_id

List of experiment IDs in the database that form the test, training, and validation sets


kalden/spartanDB documentation built on May 15, 2019, 12:02 p.m.