Automated System for Efficient Generation of Data Preparation Pipeline
Quick Start
- Before running the code, please make sure your Python version is 3.7.16.
- pip install autodatapre
Run Example
-
AutoDP.testFunction() provide two fast examples, Showcased examples from our paper.
-
We support classification and regression tasks, with specified runtime and default runtime until convergence.
-
Taking classification as an example：
import autodatapre as AutoDP
datasetName = your_dataset_path # e.g. "E:/1.csv"
datasetTarget = the_target_column_name # e.g. 'delay'
runTime = 10
df = pd.read_csv(datasetName, sep=',', encoding='ISO-8859-1')
detailResult, preparedDataset = AutoDP.Classifier(df, datasetName, datasetTarget, runTime)
AutoDP.EnhancedFunction(df, preparedDataset, detailResult, taskType="CLA")
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If runTime is not specified in the Classifier function, run until convergence.
-
Regressor has the same settings.
1 maintainer
Metadata
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Release files for autodatapre 0.1.12
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