Model Training for Prediction#
Creates a new machine learning model for predicting values, trains it based on input data, and saves the final 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 |
| Main Column Number | [Number] The number of the column containing the predicted value. Indexing starts from zero |
| Data Column Numbers | [Text] The numbers of the columns containing the data. Comma-separated. Indexing starts from zero. For example: "1,3" |
| String Column Numbers | [Text] The numbers of the columns containing text data. Comma-separated. If this value is not filled, the column type will be recognized automatically. Indexing starts from zero. For example: "1,3" |
| Delimiter | [Text] The delimiter for CSV columns |
| Algorithm Type | Select the type of algorithm |
| Model Path | [Text] Path to save the model file |
| Error Handling Level | Select the error handling level. Possible values: "Default" - 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 | Select the level of messages that will be output by the blocks during operation. Possible values: "Default" - default; "Release" - output is disabled; "Debug" - main information output; "Detailed" - detailed information output. 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 |