H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
For long running jobs like AutoML runs, showing only percentage in the progress bar looks very insufficient (especially if the job doesn’t have a time limit provided by the user) as the percentage estimation provided by the progress bar logic is often inaccurate (the progress speed being non-linear, it can get stuck to a certain percentage for a long time).
To provide better feedback to the user, I suggest to add a timer (in seconds) next to this percentage.
For example:
For long running jobs like AutoML runs, showing only percentage in the progress bar looks very insufficient (especially if the job doesn’t have a time limit provided by the user) as the percentage estimation provided by the progress bar logic is often inaccurate (the progress speed being non-linear, it can get stuck to a certain percentage for a long time).
To provide better feedback to the user, I suggest to add a timer (in seconds) next to this percentage. For example:
{noformat}AutoML progress: |███████▎ | 19% | 3:54{noformat}
On top of this, the percentage doesn’t seem to be rendered in Jupyter notebooks, let’s fix this at the same time.