# dataset source: https://archive.ics.uci.edu/ml/datasets/cnae-9

from pyxai import Learning, Explainer, Tools

import datetime
import pandas
data = pandas.read_csv(Tools.Options.dataset, names=['category']+["W"+str(i) for i in range(856)], skiprows=1)
preprocessor = Learning.Preprocessor(data, target_feature="category", learner_type=Learning.CLASSIFICATION, classification_type=Learning.BINARY_CLASS)

print("data:", preprocessor.data)

preprocessor.all_numerical_features()

preprocessor.process()
dataset_name = Tools.Options.dataset.split("/")[-1].split(".")[0] 
preprocessor.export(dataset_name, output_directory=Tools.Options.output)
