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4 changes: 0 additions & 4 deletions scripts/database/scrape/sensitivity.py
Original file line number Diff line number Diff line change
Expand Up @@ -607,7 +607,3 @@ def __call__(self, dataset, model, paths, instance):
"""
# cell_aggregator = agg_grid.cell_number(1)
# print("Size of Agg cell = ", len(cell_aggregator), "\n")

"""
Finish.
"""
4 changes: 0 additions & 4 deletions scripts/graphical/ep.py
Original file line number Diff line number Diff line change
Expand Up @@ -292,7 +292,3 @@
self.updated_ep_mean_field.mean_field[v: Variable] gives the Message/approximation of the posterior for an individual variable of the model
"""
# factor_graph_result.updated_ep_mean_field.mean_field["help"]

"""
Finish.
"""
1 change: 0 additions & 1 deletion scripts/graphical/hierarchical.py
Original file line number Diff line number Diff line change
Expand Up @@ -240,5 +240,4 @@
components (and thousands of parameters) can be fitted as many bite-sized model fits, where the model fitted at each
node consists of just tens of parameters. This makes graphical models scalable to largest datasets and most complex models!

Finish.
"""
1 change: 0 additions & 1 deletion scripts/graphical/simultaneous.py
Original file line number Diff line number Diff line change
Expand Up @@ -230,5 +230,4 @@
components (and thousands of parameters) can be fitted as many bite-sized model fits, where the model fitted at each
node consists of just tens of parameters. This makes graphical models scalable to largest datasets and most complex models!

Finish.
"""
4 changes: 0 additions & 4 deletions scripts/simulators/simulators.py
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,3 @@
util.simulate_dataset_1d_via_gaussian_from(
gaussian=gaussian, dataset_path=dataset_path
)

"""
Finish.
"""
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