...
The roadmap below can provide an indication of the algorithms we aim to implement in the coming
months. If you are interested in helping out, please check our [contribution guide](contribution_guide.html).
Items in **in bold** have already been implemented:
- Pipelines of transformers and learners
- Data pre-processing
- Feature scaling
- Polynomial feature base mapper
- Feature hashing
- Feature extraction for text
- Dimensionality reduction
- Model selection and performance evaluation
- Model evaluation using a variety of scoring functions
- Cross-validation for model selection and evaluation
- Hyper-parameter optimization
- Supervised learning
- Optimization framework
- Stochastic Gradient Descent
- L-BFGS
- Generalized Linear Models
- Multiple linear regression
- LASSO, Ridge regression
- Multi-class Logistic regression
- Random forests
- Support Vector Machines
- Decision trees
- Optimization framework
- Unsupervised learning
- Clustering
- K-means clustering
- Principal Components Analysis
- Clustering
- Recommendation
- ALS
- Text analytics
- LDA
- Statistical estimation tools
- Distributed linear algebra
- Streaming ML
...