owl

API

Library owl

• Owl
• Owl_algodiff
• Owl_algodiff_primal_ops
• Owl_cblas
• Owl_cblas_basic CBLAS interface: high-level interface between Owl and level-1, level-2, level-3 BLAS functions.
• Owl_cblas_generated auto-generated cblas interface file, timestamp:1582875912
• Owl_cluster
• Owl_core_types
• Owl_dataset Dataset: easy access to various datasets
• Owl_dense Dense data structures: matrix & ndarray
• Owl_dense_matrix Matrix: module aliases
• 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_generic Matrix module: including creation, manipulation, and various vectorised mathematical operations.
• Owl_dense_matrix_intf
• 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_ndarray Ndarray: module aliases
• Owl_dense_ndarray_a
• Owl_dense_ndarray_c
• Owl_dense_ndarray_d
• Owl_dense_ndarray_generic N-dimensional array module: including creation, manipulation, and various vectorised mathematical operations.
• Owl_dense_ndarray_intf
• Owl_dense_ndarray_s
• Owl_dense_ndarray_z
• Owl_distribution Functor to generate distribution module
• Owl_distribution_common Interface to the C implementation of rvs, pdf, and cdf functions.
• Owl_distribution_generic
• Owl_fft
• Owl_fft_d
• Owl_fft_generic Fast Fourier Transform
• Owl_fft_s
• Owl_fftpack
• Owl_lapacke
• Owl_lapacke_generated LAPACKE interface: low-level interface to the LAPACKE functions
• Owl_linalg Linear algebra: module aliases
• Owl_linalg_c
• Owl_linalg_d
• Owl_linalg_generic Linear algebra module including high-level functions to solve linear systems, factorisation, and etc.
• Owl_linalg_intf
• Owl_linalg_s
• Owl_linalg_z
• Owl_maths Maths: fundamental and advanced mathematical functions.
• Owl_maths_special
• Owl_matrix
• Owl_matrix_check
• Owl_matrix_swap
• Owl_ndarray Tensor operations implementation in Owl's Ndarray
• Owl_ndarray_contract
• Owl_ndarray_conv
• Owl_ndarray_fma
• Owl_ndarray_maths
• Owl_ndarray_pool
• Owl_ndarray_repeat
• Owl_ndarray_slide
• Owl_ndarray_sort
• Owl_ndarray_transpose
• Owl_ndarray_upsampling
• Owl_ndarray_utils
• Owl_neural
• Owl_neural_parallel Neural network: interface of parallel engine
• Owl_nlp NLP: module aliases
• Owl_nlp_corpus NLP: Corpus module
• Owl_nlp_lda NLP: LDA module
• Owl_nlp_similarity
• Owl_nlp_tfidf NLP: TFIDF module
• Owl_nlp_utils
• Owl_nlp_vocabulary NLP: Vocabulary module
• Owl_optimise
• 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_regression_generic
• Owl_regression_generic_sig
• Owl_signal Signal: Fundamental Signal Processing functions.
• Owl_slicing
• Owl_slicing_basic
• Owl_slicing_fancy
• Owl_stats Statistics: random number generators, PDF and CDF functions, and hypothesis tests. The module also includes some basic statistical functions such as mean, variance, skew, and etc.
• Owl_stats_dist
• Owl_stats_extend
• Owl_stats_prng
• Owl_stats_sampler