Training a Clustering Model#

Creates a new machine learning model for clustering, trains it based on input data, and saves the resulting model to a file.

Training Data	[Text] Path to the CSV file containing the training data. The file must contain valid headers. The file must be in UTF8 format.
Data Column Numbers	[Text] The numbers of the columns containing the data. Separator is a comma. Numbering starts from zero. For example, `"1,3"`.
String Column Numbers	[Text] The numbers of the columns containing text data. Separator is a comma. If this value is not filled, the column type will be recognized automatically. Numbering starts from zero. For example, `"1,3"`.
Separator	[Text] The separator for CSV columns.
Algorithm Type	Selection of the algorithm type.
Model Path	[Text] Path for saving the model file.
Error Handling Level	Selection of the error handling level. Possible values: "Default" - by default; "Ignore" - errors are ignored; "Handle" - errors are handled. If "Default" is selected, the value from the "Start" block of this diagram will be used.
Message Level	Selection of the message level that blocks will output during operation. Possible values: "Default" - by default; "Release" - output is disabled; "Debug" - outputs main information; "Detailed" - outputs detailed information. If "Default" is selected, the value from the "Start" block of this diagram will be used.
Error Text	[Text] Returns detailed information about the error in case of incorrect execution of the block.