Full API

.show_sklearn_code()

Print the exact scikit-learn code that reproduces what fling did. Valid, runnable Python - useful for learning or moving beyond fling.

Usage

python

model.show_sklearn_code()

Output

python

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.pipeline import Pipeline
from sklearn.compose import ColumnTransformer
from sklearn.impute import SimpleImputer
from sklearn.preprocessing import StandardScaler, OneHotEncoder
from sklearn.linear_model import LogisticRegression

df = pd.read_csv('your_data.csv')
X_train, X_test, y_train, y_test = train_test_split(
    X, y, test_size=0.2, random_state=42
)
# ... full pipeline code ...