owl 0.3.0

Libraries

This package provides the following libraries (via ocamlobjinfo):

owl

Documentation:

• Owl_utils Helper functions used in the library
• Owl_types Define the types shared by various modules
• Owl_maths Maths: fundamental and advanced mathematical functions.
• Owl_stats Statistics: random number generators, PDF and CDF functions, and hypothesis tests.
• Owl_dense_common
• Owl_sparse_ndarray_generic Sparse N-dimensional array module
• Owl_sparse_ndarray_z
• Owl_sparse_ndarray_s
• Owl_sparse_ndarray_d
• Owl_sparse_ndarray_c
• Owl_operator Operator definition such add, sub, mul, and div.
• Owl_sparse_ndarray Sparse ndarray: module aliases
• Owl_backend_gsl_linalg
• Owl_cblas_generated auto-generated cblas interface file, timestamp:1498396302
• Owl_cblas CBLAS interface: high-level interface beween Owl and level-1, level-2, level-3 BLAS functions.
• Owl_pretty Pretty print the n-dimensional array
• Owl_slicing
• Owl_dense_ndarray_generic N-dimensional array module: including creation, manipulation, and various vectorised mathematical operations.
• Owl_dense_matrix_generic Matrix module: including creation, manipulation, and various vectorised mathematical operations.
• Owl_sparse_common
• Owl_sparse_matrix_generic Sparse matrix module
• Owl_sparse_matrix_z
• Owl_sparse_matrix_s
• Owl_sparse_matrix_d
• Owl_sparse_matrix_c
• Owl_sparse_dok_matrix
• Owl_sparse_matrix Sparse matrix: module aliases
• Owl_sparse Sparse data structures: matrix & ndarray
• Owl_algodiff_generic Algodiff: algorithmic differentiation module
• Owl_optimise_generic Optimisation engine This module provides fundamental supports for Owl's regression and neural network module. The module supports both single and double precision float numbers.
• Owl_regression_generic
• Owl_dense_ndarray_a
• Owl_dense_ndarray_c
• Owl_dense_ndarray_d
• Owl_dense_ndarray_s
• Owl_dense_ndarray_z
• Owl_dense_ndarray Ndarray: module aliases
• Owl_regression Regression Module This module implements a set of regression functions. S module provides supports for single precision float numbers whilst D module provides supports for double precision float numbers.
• Owl_dense_matrix_c Complex dense matrix module: this module supports operations on dense matrices of complex numbers. The complex number has a record type of {re = float; im = float}.
• Owl_dense_matrix_d
• Owl_dense_matrix_s
• Owl_dense_matrix_z Complex dense matrix module: this module supports operations on dense matrices of complex numbers. The complex number has a record type of {re = float; im = float}.
• Owl_dense_matrix Matrix: module aliases
• Owl_plot Plot: high-level plotting functions.
• Owl_parallel Parallel & distributed computing: engine interface
• Owl_optimise
• Owl_nlp_utils
• Owl_nlp_vocabulary NLP: Vocabulary module
• Owl_dense_vector_generic Vector module: various functions of vectors
• Owl_dense_vector_d
• Owl_nlp_corpus NLP: Corpus module
• Owl_nlp_similarity
• Owl_nlp_tfidf NLP: TFIDF module
• Owl_dense_vector_c
• Owl_dense_vector_s
• Owl_dense_vector_z
• Owl_dense_vector Vector: module aliases
• Owl_dense Dense data structures: matrix & ndarray
• Owl_nlp_lda0 NLP: LDA module
• Owl_nlp_lda NLP: LDA module
• Owl_nlp NLP: module aliases
• Owl_algodiff_numerical Algodiff: numerical differentiation module
• Owl_algodiff Algorithmic & numerical differentiation
• Owl_neural_parallel Neural network: interface of parallel engine
• Owl_neural_neuron Neural network: Neuron definitions
• Owl_neural_graph Neural network: Graphical neural network
• Owl_neural Neural network: module aliases
• Owl_lapacke_generated LAPACKE interface: low-level interface to the LAPACKE functions
• Owl_lapacke LAPACKE interface: high-level interface between Owl and LAPACKE
• Owl_linalg_generic Linear algebra module including high-level functions to solve linear systems, factorisation, and etc.
• Owl_linalg_z
• Owl_linalg_s
• Owl_linalg_d
• Owl_linalg_c
• Owl_linalg Linear algebra: module aliases
• Owl_lazy Lazy module The module is used to construct a computation graph explicitly for evaluation. The module can be used to simulate the lazy evaluation atop of OCaml. It can also be used for dataflow programming and supports incremental computation. If a variable is updated, only the subgraph depending on such variable will be evaluated.
• Owl_fft Fast Fourier Transforms (FFTs)
• Owl_ext_types
• Owl_ext_dense_matrix
• Owl_ext_dense_ndarray
• Owl_ext_uniop
• Owl_ext_lifts
• Owl_ext_binop
• Owl_ext Extension: interoperation on different number types
• Owl_dataset Dataset: easy access to various datasets
• Owl_const Metric system: CGS, MKS, SI, and physical constants.
• Owl_cluster
• Owl_backend_gsl_stats
• Owl_backend_gsl_maths
• Owl