Brainome is a data compiler that automatically solves supervised machine learning problems with repeatable and reproducible results and creates standalone python predictors.
Brainome’s philosophy is that data science should be accessible to all:
Run on your machine or in your cloud.
Keep your data local.
Own your model python code - run it anywhere.
Single “compiler like” command to convert you data in a model in a single step.
Automatic data format conversion (text, numbers, etc..).
No hyper-parameter tuning through measurements.
Unlimited dimensionality (premium).
Brainome offer unique data insight and helps answer:
Do I have enough data and the right feature?
What features are important (attribute ranking)?
What model type will work best?
Is my model overfitting?
Brainome’s predictors:
Run as executable or import as library.
Are hardware independent.
Are self contained in a single python file and integrate easily in standard CI/CD flow, Github, etc…
