AutoML is the concept of automating the practical aspects of machine learning model development - the creation of models, hyper-parameter tuning, algorithm selection, and feature management. The degree of automation can vary widely - from manual control of algorithm selection and tuning to a fully automated "one-click" solution. It simplifies the process of training and evaluating machine learning models so that data scientists can focus on business problems.
Transform & Synthesize Features : Data has to be cleaned and transformed in creative ways for higher machine learning accuracy. Using our powerful feature engineering tool, you can set up rules for automated cleaning and deep feature synthesis that enable every kind of transformation you require.
Dimensionality Reduction : Not all features are created equal. Some may even hamper your model accuracy. Find the most important features that affect model performance and choose them automatically.
Scaling : Machine learning models work by optimizing a cost function. Speed up this optimization process with several scaling options.
Algorithm Selection : The choice of algorithms affects everything from accuracy and scalability to bias and explainability. With over 60+ standard algorithms, you will have every choice you need for all kinds of machine learning problems.
Hyperparameter Tuning : Your time is important. So why spend it on low-level tasks like choosing between different learning rates? We have designed auto-tuning algorithms using cutting-edge research so you can do it all in a few clicks.
Model Comparison : No one puts all their eggs in one basket. Choose several algorithms, implement all your ideas together and compare performance in our semi-auto mode that puts you in the driving seat.
Network Selection : Every kind of deep learning problem needs its own class of neural networks. With our tool, we make them all available to you in a simple Graphical User Interface.
Neural Architectural Search : Feel like a hands-off approach to designing a neural network architecture? Let our state-of-the-art AI figure out the best architecture to solve your problem.
Hyperparameter Tuning : Tuning a neural network is even more complex than for machine learning. With our AI handling this, you can spend your time on ideation and design than mundane choices between dropout fractions and learning rates.
Registration : Our automated tools handles registration and naming for every finalized model so you can keep designing a better one.
Versioning : Keep track of all your work and always use the best product with our built in versioning system.
Packaging : Automatically create a containerized version of your model. Deploy directly into MLOps or export it to be used offline - the choice is in your hands.