Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Dev #115

Merged
merged 4 commits into from
Dec 21, 2023
Merged

Dev #115

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
a904acf
fixed recursive search space probabilities
perib Nov 28, 2023
1fc2a76
Merge pull request #113 from perib/dev
perib Dec 5, 2023
a662f39
fixed config dict typo
perib Dec 14, 2023
0ad8562
Merge pull request #114 from perib/dev
perib Dec 14, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
5 changes: 4 additions & 1 deletion tpot2/individual_representations/graph_pipeline_individual/individual.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1193,7 +1193,10 @@ def random_weighted_sort(l,weights, rng_=None):
sorted_l = []
indeces = {i: weights[i] for i in range(len(l))}
while len(indeces) > 0:
next_item = rng.choice(list(indeces.keys()), p=list(indeces.values()))
keys = list(indeces.keys())
p = np.array([indeces[k] for k in keys])
p = p / p.sum()
next_item = rng.choice(list(indeces.keys()), p=p)
indeces.pop(next_item)
sorted_l.append(l[next_item])

Expand Down
2 changes: 1 addition & 1 deletion tpot2/tpot_estimator/estimator_utils.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -79,7 +79,7 @@ def get_configuration_dictionary(options, n_samples, n_features, classification,


else:
config_dict.update(recursive_with_defaults(options, n_samples, n_features, classification, random_state, cv, subsets=subsets, feature_names=feature_names, n_classes=n_classes))
config_dict.update(recursive_with_defaults(option, n_samples, n_features, classification, random_state, cv, subsets=subsets, feature_names=feature_names, n_classes=n_classes))

if len(config_dict) == 0:
raise ValueError("No valid configuration options were provided. Please check the options you provided and try again.")
Expand Down
Loading