Training and deploying an Iris flower classification model using TrueFoundry
If you are training machine learning models to solve a problem, TrueFoundry helps you track different experiments and makes it easy and intuitive to deploy models with best practices and make it available for public use in a matter of minutes. [https://truefoundry.com]TrueFoundry WebsiteIn this example, we train
Overall Vision: A developer platform that eases creation and management of services following all best practices and gives complete overall picture of infrastructure including monitoring of systems, data, cost and impact with initial focus on Machine Learning! Vision for TrueFoundry (5–10 years) TrueFoundry at its core aims to make
Time killed my ML model!
All of us have heard the statistic that 90% [https://towardsdatascience.com/why-90-percent-of-all-machine-learning-models-never-make-it-into-production-ce7e250d5a4a] , 88% [https://www.antheon.nl/blogs/why-ml-models-are-not-taken-into-production/], 87% [https://venturebeat.com/2019/07/19/why-do-87-of-data-science-projects-never-make-it-into-production/] , 85% [https://iiot-world.com/industrial-iot/connected-industry/why-85-of-machine-learning-projects-fail/] or some crazy percentage of ML model