"""models —— 建模：回归 / 时间序列 / 机器学习（薄封装）。

原建议把 `regression/` 和 `ml/` 拆成两个包，但两边的
`fit_linear` 与 `fit_linear_regression` 明显重复。
这里合并为一个包，共享一套 `fit / predict / score` 协议和一份指标实现。
"""

from .metrics import (
    adjusted_r2,
    compare_models,
    mae,
    mape,
    r2_score,
    rmse,
    smape,
)
from .ml import cross_validate, fit_forest, fit_logistic, kmeans, pca
from .regression import fit_linear, fit_nonlinear, fit_polynomial, predict
from .timeseries import exponential_smoothing, fit_arima, forecast

__all__ = [
    "fit_linear",
    "fit_polynomial",
    "fit_nonlinear",
    "predict",
    "exponential_smoothing",
    "fit_arima",
    "forecast",
    "fit_forest",
    "fit_logistic",
    "kmeans",
    "pca",
    "cross_validate",
    "rmse",
    "mae",
    "mape",
    "smape",
    "r2_score",
    "adjusted_r2",
    "compare_models",
]