-
Notifications
You must be signed in to change notification settings - Fork 18
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.
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
[EPMRPP-90168] train rework #169
Conversation
Codecov ReportAttention: Patch coverage is
Additional details and impacted files@@ Coverage Diff @@
## develop #169 +/- ##
===========================================
+ Coverage 75.38% 79.62% +4.23%
===========================================
Files 43 46 +3
Lines 5006 5236 +230
===========================================
+ Hits 3774 4169 +395
+ Misses 1232 1067 -165
Flags with carried forward coverage won't be shown. Click here to find out more. ☔ View full report in Codecov by Sentry. |
Quality Gate failedFailed conditions See analysis details on SonarCloud Catch issues before they fail your Quality Gate with our IDE extension SonarLint |
LOGGER.debug(f'Length of train data: {len(labels)}') | ||
LOGGER.debug(f'Train data label distribution: {Counter(labels)}') | ||
LOGGER.debug(f'Train model name: {name}; estimators number: {self.n_estimators}') | ||
model = RandomForestClassifier(self.n_estimators, class_weight='balanced') |
Check notice
Code scanning / SonarCloud
Results that depend on random number generation should be reproducible Low
No description provided.