Fit LGBMRegressor

Implementation of the scikit-learn API for LightGBM regressor.

Parameters

Regressor [string]

Scikit-learn python code. See LGBMRegressor for information on different parameters.

Default:

from lightgbm import LGBMRegressor

regressor = LGBMRegressor(n_estimators=100)

Training dataset [file]

Training dataset pickle file used for fitting the classifier. If not specified, an unfitted classifier is created.

Outputs

Output regressor [fileDestination]

Pickle file destination.

Command-line usage

>qgis_process help enmapbox:FitLgbmregressor:

----------------
Arguments
----------------

regressor: Regressor
    Default value:  from lightgbm import LGBMRegressor

regressor = LGBMRegressor(n_estimators=100)
    Argument type:  string
    Acceptable values:
            - String value
dataset: Training dataset (optional)
    Argument type:  file
    Acceptable values:
            - Path to a file
outputRegressor: Output regressor
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

----------------
Outputs
----------------

outputRegressor: <outputFile>
    Output regressor