Create classification dataset (from Python code)
Create a classification dataset from Python code and store the result as a pickle file.
Parameters
- Code [string]
Python code specifying the classification dataset.
Default:
from enmapboxprocessing.typing import Number, List, Category, ClassifierDump # specify categories and feature names categories: List[Category] = [ Category(value=1, name='class 1', color='#ff0000'), Category(value=2, name='class 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, 1) y: List[List[int]] = [ [1], [2] ]
Outputs
- Output dataset [fileDestination]
Pickle file destination.
Command-line usage
>qgis_process help enmapbox:CreateClassificationDatasetFromPythonCode
:
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Arguments
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code: Code
Default value: from enmapboxprocessing.typing import Number, List, Category, ClassifierDump
# specify categories and feature names
categories: List[Category] = [
Category(value=1, name='class 1', color='#ff0000'),
Category(value=2, name='class 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, 1)
y: List[List[int]] = [
[1], [2]
]
Argument type: string
Acceptable values:
- String value
outputClassificationDataset: Output dataset
Argument type: fileDestination
Acceptable values:
- Path for new file
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Outputs
----------------
outputClassificationDataset: <outputFile>
Output dataset