Generate interactive reports in the notebook or export them as an HTML file. Use them for visual evaluation, debugging and sharing with the team. Run the data and model checks as part of the pipeline. Integrate with tools like Mlflow or Airflow to schedule the tests and log the results. Collect the model quality metrics from the deployed ML service. Currently works through integration with Prometheus and Grafana.
SAS Visual Data Mining and Machine Learning combines data wrangling, data exploration, visualization, feature engineering, and modern statistical, data mining and machine learning techniques all in a single, scalable in-memory processing environment. This provides faster, more accurate answers to complex business problems, increased deployment flexibility and one easy-to-administer and fluid IT environment.
dotData provides an entirely new way to accelerate and automate your AI and ML projects. Powered by cutting-edge machine learning and AI algorithms, dotData provides the world's only full-cycle Data Science Platform that can automate 100% of your data science life-cycle.
