Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms.
James BergstraDan YaminsDavid D. CoxPublished in: SciPy (2013)
Keyphrases
- machine learning algorithms
- hyperparameters
- model selection
- cross validation
- closed form
- random sampling
- machine learning
- bayesian framework
- benchmark data sets
- support vector
- prior information
- learning algorithm
- noise level
- bayesian inference
- sample size
- maximum likelihood
- incremental learning
- em algorithm
- maximum a posteriori
- machine learning methods
- decision trees
- learning problems
- meta learning
- random forests
- incomplete data
- learning tasks
- missing values
- gaussian processes
- machine learning approaches
- parameter settings
- machine learning models
- data mining
- artificial neural networks
- image processing
- generative model
- regression model
- active learning
- markov random field
- text classification
- missing data
- logistic regression