Skip to content

Fix prediction stage in SVM report #69

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

Merged
merged 1 commit into from
May 25, 2021
Merged

Fix prediction stage in SVM report #69

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
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
2 changes: 1 addition & 1 deletion report_generator/report_generator.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -176,7 +176,7 @@ def create_list(res_entry, props_list):

stages_splitter = {
'training': ['training', 'computation'],
'inference': ['prediction', 'transformation', 'search']
'inference': ['prediction', 'transformation', 'search', 'predict_proba']
}

for stage_key in stages_splitter.keys():
Expand Down
3 changes: 2 additions & 1 deletion sklearn_bench/svm.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,6 +24,7 @@ def main():
from sklearn.svm import SVC

X_train, X_test, y_train, y_test = bench.load_data(params)
y_train = np.asfortranarray(y_train).ravel()

if params.gamma is None:
params.gamma = 1.0 / X_train.shape[1]
Expand All @@ -46,7 +47,7 @@ def main():
def metric_call(x, y): return bench.log_loss(x, y)
clf_predict = clf.predict_proba
else:
state_predict = 'predict'
state_predict = 'prediction'
accuracy_type = 'accuracy[%]'
def metric_call(x, y): return bench.accuracy_score(x, y)
clf_predict = clf.predict
Expand Down