slblocksearchdb.trainfrommodelsindir

Train suggestion engine to improve quick insert results based on models in a folder

Syntax

slblocksearchdb.trainfrommodelsindir(folder)

slblocksearchdb.trainfrommodelsindir(folder,'exclude',exclusions)

Description

slblocksearchdb.trainfrommodelsindir(folder) improves search results based on the models in folder, recursively.

slblocksearchdb.trainfrommodelsindir(folder,'exclude',exclusions) excludes the specified models from updating the suggestion engine.

Examples

Train Suggestion Engine and Exclude Folders and Models

Create the cell array exPath for a folder you want to exclude and a model you want to exclude. To train the suggestion engine, use the cell array in the slblocksearchdb.trainfrommodelsindir command.

exPath = {'MyModels/testmodels' 'MyModels/myvdp.slx'}
slblocksearchdb.trainfrommodelsindir('MyModels','exclude',exPath)

The command uses the models in the folder 'MyModels' with the exclusions you specified.

Input Arguments

folder — Folder whose models to use for training

folder path

Folder whose models to use for training the suggestion engine, specified as an absolute or relative path character vector or string scalar.

Example: 'H:/MyModels/trainingmodels' 'MyModels'

exclusions — Models to exclude from training models

cell array of character vectors | string array

Models to exclude from training the suggestion engine, specified as a cell array of character vectors or a string array. Specify folders or models to exclude as a full or relative path. Model names must include the file extension .slx or .mdl.

Example: {'H:/MyModels/trainingmodels' 'MyModels/trainingmodels2' 'MyModels/myvdp.slx'}

Version History

Introduced in R2018a