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DOC: add Examples to DummyProbaRegressor #1017

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DOC: add Examples to DummyProbaRegressor #1017

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17 changes: 17 additions & 0 deletions skpro/regression/dummy.py
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Expand Up @@ -38,6 +38,23 @@ class DummyProbaRegressor(BaseProbaRegressor):
distribution_ : skpro.distribution
Normal distribution or Empirical distribution, depending on chosen strategy.
Scalar version of the distribution that is returned by ``predict_proba``.
Examples
--------
from skpro.regression.dummy import DummyProbaRegressor
from sklearn.datasets import load_diabetes
X, y = load_diabetes(return_X_y=True, as_frame=True)
X_train, X_test = X.iloc[:400], X.iloc[400:]
y_train = y.iloc[:400]
reg = DummyProbaRegressor()
reg.fit(X_train, y_train)
DummyProbaRegressor(...)
reg.predict_proba(X_test)
Empirical(...)
reg_normal = DummyProbaRegressor(strategy="normal")
reg_normal.fit(X_train, y_train)
DummyProbaRegressor(strategy='normal')
reg_normal.predict_proba(X_test)
Normal(...)
"""

_tags = {
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