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ML Automater
Automate the end-to-end machine learning workflow, from data preparation to model deployment
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ML Automater simplifies machine learning pipelines by handling data preparation, model training, and deployment. It ingests raw data, cleans and engineers features, selects the best model with hyperparameter tuning, and automates deployment based on evaluation metrics. This system enables users to quickly build and deploy machine learning solutions with minimal manual intervention.
Agents
Data Preparation Agent
An agent responsible for data ingestion, cleaning, feature engineering, and transformation to prepare datasets for machine learning models.
Automated ML Agent
An agent that performs machine learning model selection and tuning. It chooses the best hyperparameters, trains multiple models, and selects the best-performing one.
Model Evaluation and Deployment Agent
An agent that evaluates trained models, compares performance metrics, and deploys the best model for production use based on predefined thresholds.
Category
Productivity
Tags
Data Preparation Agent
An agent responsible for data ingestion, cleaning, feature engineering, and transformation to prepare datasets for machine learning models.
Automated ML Agent
An agent that performs machine learning model selection and tuning. It chooses the best hyperparameters, trains multiple models, and selects the best-performing one.
Model Evaluation and Deployment Agent
An agent that evaluates trained models, compares performance metrics, and deploys the best model for production use based on predefined thresholds.