Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production.
Sandeep Singh SandhaMohit AggarwalSwapnil Sayan SahaMani B. SrivastavaPublished in: CogMI (2021)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- feature selection
- model selection
- supervised classification
- support vector
- multiple classifier systems
- svm classifier
- learning classifier systems
- meta learning
- training data
- supervised learning
- text mining
- production system
- gaussian processes
- learning problems
- training examples
- text classification
- information extraction
- training set
- classifier ensemble
- learning algorithm
- roc analysis
- database workloads
- learning tasks
- naive bayes
- pattern recognition
- reinforcement learning
- inductive learning
- classification models
- hyperparameters
- inductive logic programming
- classification algorithm
- linear classifiers
- training samples
- production planning
- neural network
- data sets