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Formatting fixes in time features example #20605

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Jul 26, 2021
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Formatting fixes in time features example #20605

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8 changes: 4 additions & 4 deletions examples/applications/plot_cyclical_feature_engineering.py
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Original file line number Diff line number Diff line change
Expand Up @@ -559,10 +559,10 @@ def periodic_spline_transformer(period, n_splines=None, degree=3):
# than an hour. However, we will see in the following that what can be an
# advantage for linear models is not necessarily one for more expressive
# models.
#

# %%
# We can also compare the number of features extracted by each feature
# engineering pipeline:
# %%
naive_linear_pipeline[:-1].transform(X).shape

# %%
Expand Down Expand Up @@ -591,7 +591,7 @@ def periodic_spline_transformer(period, n_splines=None, degree=3):
# explained by the lack of non-additive modeling of the interactions between
# features (in this case "workingday" and features derived from "hours"). This
# issue will be addressed in the following section.
#

# %%
# Modeling pairwise interactions with splines and polynomial features
# -------------------------------------------------------------------
Expand Down Expand Up @@ -819,4 +819,4 @@ def periodic_spline_transformer(period, n_splines=None, degree=3):
# problems, it is likely that using a Poisson or Gamma distribution would make
# more sense. This could be achieved by using
# `GridSearchCV(TweedieRegressor(power=2), param_grid({"alpha": alphas}))`
# instead of `RidgeCV`
# instead of `RidgeCV`.