numpy-ml

Machine learning, in NumPy

Navigation

  • Hidden Markov models
  • Gaussian mixture models
  • Latent Dirichlet allocation
  • N-gram smoothing models
  • Multi-armed bandits
  • Reinforcement learning
  • Nonparametric models
  • Matrix factorization
  • Tree-based models
  • Neural networks
  • Linear models
  • Preprocessing
  • Utilities
    • Data structures
    • Distance metrics
    • Graphs
    • Kernels
    • Window functions
    • Testing

Related Topics

  • Documentation overview
    • Previous: Natural language processing
    • Next: Data structures

Quick search

UtilitiesΒΆ

  • Data structures
    • BallTree
    • DiscreteSampler
    • PriorityQueue
    • PQNode
    • Dict
  • Distance metrics
    • euclidean
    • chebyshev
    • hamming
    • manhattan
    • minkowski
  • Graphs
    • Graph
    • Edge
    • DiGraph
    • UndirectedGraph
    • random_unweighted_graph
    • random_DAG
  • Kernels
    • LinearKernel
    • PolynomialKernel
    • RBFKernel
  • Window functions
    • blackman_harris
    • generalized_cosine
    • hamming
    • hann
  • Testing
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