Platform and UX changes
Model Quality Diagram indicator calculation was improved to reflect more realistic
metric values for regression task type.
The EDA plotting functionality was upgraded to show the Time Dependencies plots for
every detected date/time column in the training dataset.
The Correlation Matrix generation algorithm was upgraded in the EDA and now shows
the top 10 features with the highest binary correlation with the target.
The Model Interpreter is now available in 1 click, for predictions which were made
When Prediction is turned off, user can now enable it from the prediction results
User notification was added for following cases:
when column names in the training dataset are not unique
when detected number of fields(columns) in some rows does not match the number of
fields in the dataset header
when validation dataset structure does not match the training dataset structure
in the Model Interpreter when the feature values are out of bounds of the feature
values in the training dataset
when prediction is enabled platform recommends to turn it off after getting the
results to reduce the costs
Some small interface changes:
Processed training dataset preview is now available on the Prediction tab.
Animation was added to the Prediction button to highlight its status.
Link to dataset requirements was added on the “dataset uploading” pop-up windows.
Solution Id is now visible on the My Solution page.
System folders were hidden for “dataset selection” pop-up windows.
Close option was added to the “dataset selection” pop-up windows.