snaplib 0.1.22

Data preprocessing lib

snaplib

A simple data preprocessing tools.

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user guide

Kaggle Notebook
https://www.kaggle.com/code/artyomkolas/titanic-snaplib-classification/notebook

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PyPi

!pip install snaplib

Use cases

from snaplib.snaplib import Snaplib
sl = Snaplib()

missing_info_df = sl.nan_info(df)

sl.nan_plot(df)

df = sl.cleane(df, target_name, verbose=True)

train_X, test_X, train_y, test_y = sl.train_test_split_balanced(df, target_name, test_size=0.2, random_state=0, research_iter=0)

df = sl.recover_data(df, verbose=True, stacking=True)

df = sl.encode_dataframe(df)

df = sl.decode_dataframe(df)

k_fold_dict_data = sl.k_folds_split(df, target_name_str, k)

y_hat = sl.predict_stacked(algorithms_list, X_train, y_train, X_pred, y_test=None, task='clsf', verbose=0)

score = sl.cross_val(algorithms_list, k_fold_dict_data, metric, task, cv, verbose=0)