Create regression dataset (from Python code)

Create a regression dataset from Python code and store the result as a pickle file.

Parameters

Code [string]

Python code specifying the regression dataset.

Default:

from enmapboxprocessing.typing import Number, List, Target, RegressorDump

# specify targets and feature names
targets: List[Target] = [
    Target(name='variable 1', color='#ff0000'),
    Target(name='variable 2', color='#00ff00')
]
features: List[str] = ['Feature 1', 'Feature 2', 'Feature 3']

# specify features X as 2d-array with shape (samples, features)
X: List[List[Number]] = [
    [1, 2, 3],
    [4, 5, 6]
]
# specify targets y as 2d-array with shape (samples, targets)
y: List[List[float]] = [
    [1.1, 1.2], [2.1, 2.2]
]

Outputs

Output dataset [fileDestination]

Pickle file destination.

Command-line usage

>qgis_process help enmapbox:CreateRegressionDatasetFromPythonCode:

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

code: Code
    Default value:  from enmapboxprocessing.typing import Number, List, Target, RegressorDump

# specify targets and feature names
targets: List[Target] = [
    Target(name='variable 1', color='#ff0000'),
    Target(name='variable 2', color='#00ff00')
]
features: List[str] = ['Feature 1', 'Feature 2', 'Feature 3']

# specify features X as 2d-array with shape (samples, features)
X: List[List[Number]] = [
    [1, 2, 3],
    [4, 5, 6]
]
# specify targets y as 2d-array with shape (samples, targets)
y: List[List[float]] = [
    [1.1, 1.2], [2.1, 2.2]
]

    Argument type:  string
    Acceptable values:
            - String value
outputRegressionDataset: Output dataset
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

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

outputRegressionDataset: <outputFile>
    Output dataset