The senior bar. Set by the people who maintain scikit-learn.

from sklearn.metrics import brier_score_loss, roc_auc_score

brier = brier_score_loss(y, p)  # calibration
auc   = roc_auc_score(y, p)    # ranking power

from sklearn.calibration import CalibratedClassifierCV

cal = CalibratedClassifierCV(
  estimator=clf,
  method="isotonic",
  cv=5,
).fit(X_tr, y_tr)

from sklearn.inspection import (
  PartialDependenceDisplay, permutation_importance,
)

PartialDependenceDisplay.from_estimator(
    clf, X, features=[0, 1],
)

import pandas as pd

df["sales_lag_7"] = (
  df.groupby("store")["sales"].shift(7)
)

from sklearn.model_selection import GridSearchCV
from sklearn.metrics import make_scorer, brier_score_loss

scorer = make_scorer(
  brier_score_loss,
  greater_is_better=False,
  needs_proba=True,
)
GridSearchCV(pipe, grid, scoring=scorer)

import skops.io as sio

sio.dump(model, "model.skops")
loaded = sio.load(
  "model.skops", trusted=True,
)