- See also
- python.workflows.clfTreeModelTrain
Aim of module
Trains a supervised decision tree based classification model.
General description
- See also
- Script documentation
Parameter description
Common Package/Script Options
Settings concerning the general options for (package) scripts.
-infile input text file, directory or strip file
Type : Path
Remark : mandatory
Description: As input either the name of an ASCII file (extension .txt) containing the names of the data files (one file per line) or an expression using wildcards to specify the respective data sets are accepted.
-outfile output directory or settings file (.txt)
Type : Path
Remark : optional
Description: Specifies the directory where the final results are stored. If not specified, the results are created in the current working directory.
-tempdir temporary directory
Type : Path
Remark : optional, default: current directory
Description: Specifies the directory where all intermediate results are stored. If not specified, a TEMP subdirectory is created in the current working directory. Additional subdirectories (one per involved module) are created.
-cfg Path to configuration file
Type : Path
Remark : optional, default: $OPALS_ROOT/cfg/clfTreeModelTrain.cfg
Description: The name of a configuration file containing all relevant calculation parameters is expected. If not specified, the default cfg files as provided by the OPALS distribution are used.
-projectDir project directory
Type : Path
Remark : optional, default: current directory
Description: The default project directory is the current working directory, but can be easily changed by this parameter. All path parameters, if not specified as absolute paths, are interpreted relative to the project directory.
-skipIfExists skip processing if result already exists
Type : Boolean
Remark : optional, default: True
Description: Skip processing if result already exists. In order to re-run current script it is useful to repeat the processing only if the respective output does not already exist. This allows for incremental processing of large projects.
possible input | evaluates to |
1, true, yes, Boolean(True), True | Boolean(True) |
0, false, no, Boolean(False), False | Boolean(False) |
-distribute determine how many local processes should be used
Type : String
Remark : optional
Description: according to the number chosen as the value, independent processes are being started to parallelise (parts of) the program and therefore enhance the runtime.
Logging Options
Settings concerning the verbosity level of logging.
-fileLogLevel Log level in the logfile
Type : LogLevel
Remark : optional, default: info
-screenLogLevel Log level on screen
Type : LogLevel
Remark : optional, default: info
-logger Logger
Type : Logger
Remark : optional
Description: Logger is usually provided by the opals framework.The user may provide their own logger object, but it has to function in the same way as the opals Logger.
Examples
To be written.