import numpy as np
from sklearn.datasets import make_regression
from sklearn.model_selection import train_test_split
x, y = make_regression(n_samples=10_000, n_features=10, n_informative=8, noise=5, shuffle=True, random_state=42)
x_train , x_test, y_train, y_test = train_test_split(x, y, test_size = 0.35, random_state = 42)
import xgboost as xgb
regressor=xgb.XGBRegressor(eval_metric='rmse')
regressor.fit(x_train, y_train)
preds = regressor.predict(x_test)
residuals = preds - y_test
r_mape = np.mean(abs(residuals) / abs(y_test))
r_mdape = np.median(abs(residuals) / abs(y_test))
print(f'MAPE {r_mape:.2f}')
print(f'MDAPE {r_mdape:.2f}')
>>> MAPE 3.74
>>> MDAPE 0.16

import pymystem3
mystem = pymystem3.Mystem()
text = 'дата канальи -- канал про каналий'
print(', '.join(mystem.lemmatize(text)))
>>> дата,  , каналья,  -- , канал,  , про,  , каналья,

from sklearn.isotonic import IsotonicRegression
import numpy as np
from sklearn.datasets import make_regression
from xgboost import XGBRegressor
import plotly.graph_objs as go

x, y = make_regression(n_samples=1000, n_features=1, random_state=42, noise=3)
ir = IsotonicRegression()
ir.fit(x, y)
y_pred = ir.predict(x)
params = {'monotone_constraints':'(1)'}
xgb = XGBRegressor(**params, n_estimators=50, max_depth=3, verbosity=0, max_bin = 70, tree_method = 'hist')
xgb.fit(x, y)
y_pred_xgboost = xgb.predict(x)

fig2 = go.Figure()
fig2.add_trace(go.Scatter(x=np.array(x).squeeze(), y=y, mode='markers', name='исходные точки'
              , marker=dict(color='LightSkyBlue', size=10)))
fig2.add_trace(go.Scatter(x=np.array(x).squeeze(), y=y_pred, mode='markers', name='изотоническая регрессия'
              , line=dict(color='firebrick', width=4, dash='dashdot')))
fig2.add_trace(go.Scatter(x=np.array(x).squeeze(), y=y_pred_xgboost, mode='markers', name='XGB_regressor'
              , line=dict(color='Green', width=4, dash='dashdot')))
fig2.update_layout(legend_orientation="v"
                  , legend=dict(x=.5, y = 0.95, xanchor="center")
                  , title="бустинг vs изотоник"
                  , xaxis_title="ордината"
                  , yaxis_title="абсцисса"
                  , margin=dict(l=0, r=0, t=50, b=0)
                  , hovermode="x"
                  , height=600
                  , width=900
                  , font_family="Arial"
                  , font_color="black"
                  , font_size = 20
                  , title_font_family="Times New Roman"
                  , title_font_size = 30
                  , title_font_color="black"
                  , legend_title_font_color="black"
                  , legend_title_font_size=20
                  , separators=", .*"
)
fig2.show()