Packages by David Cortes

MatrixExtra — 0.1.15

Extra Methods for Sparse Matrices

StratifiedRF — 0.2.2

Builds Trees by Sampling Variables in Groups

cmfrec — 3.5.1-3

Collective Matrix Factorization for Recommender Systems

costsensitive — 0.1.2.10

Cost-Sensitive Multi-Class Classification

isotree — 0.6.1-1

Isolation-Based Outlier Detection

nonneg.cg — 0.1.6-1

Non-Negative Conjugate-Gradient Minimizer

outliertree — 1.9.0

Explainable Outlier Detection Through Decision Tree Conditioning

poismf — 0.4.0-4

Factorization of Sparse Counts Matrices Through Poisson Likelihood

readsparse — 0.1.5-6

Read and Write Sparse Matrices in 'SVMLight' and 'LibSVM' Formats

recometrics — 0.1.6-3

Evaluation Metrics for Implicit-Feedback Recommender Systems

stochQN — 0.1.2-1

Stochastic Limited Memory Quasi-Newton Optimizers