> Models > Samplers You can count on different types of samplers with different settings: Sampler Description Settings CSV Reads the contents of a CSV file extracting all the rows as string arrays. Expected format of each resource is this one:...
your own contacts address book by entering in the menu Account > Contacts. This allows you to import and export contacts in CSV format or directly create/modify/delete contacts through the web interface. These contacts will be available during email...
This feature allows you to feed LogicalDOC with files stored in a set of local and/or remote sources. A typical scenario is when you want to introduce LogicalDOC at your premises, and you already have your corporate files stored in shared folders over...
This builds a model that can later compare new inputs against what it has learned. To train the model, the system expects a CSV file containing only one column. Each line in this column must follow a very specific format: . Examples: SEARCHDOC Find any...
choose. The options can be managed by clicking on Attribute options. You can also Import and Export huge lists of options in CSV format. Initialization For each attribute, you may write your initialization script that will be used to initialize the...
