owl-base

API

Library owl-base

• Owl_algodiff_generic
• Owl_algodiff_generic_sig
• Owl_base
• Owl_base_complex
• Owl_base_dense_common
• Owl_base_dense_ndarray Ndarray: module aliases
• Owl_base_dense_ndarray_d
• Owl_base_dense_ndarray_generic N-dimensional array module: including creation, manipulation, and various vectorised mathematical operations.
• Owl_base_dense_ndarray_s
• Owl_base_linalg_generic
• Owl_base_maths Maths: fundamental and advanced mathematical functions.
• Owl_base_slicing
• Owl_base_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_base_stats_dist_bernoulli
• Owl_base_stats_dist_cauchy
• Owl_base_stats_dist_exponential
• Owl_base_stats_dist_gamma
• Owl_base_stats_dist_gaussian
• Owl_base_stats_dist_gumbel1
• Owl_base_stats_dist_gumbel2
• Owl_base_stats_dist_uniform
• Owl_base_stats_prng
• Owl_const Metric system: CGS, MKS, SI, and physical constants.
• Owl_dataframe
• Owl_exception
• Owl_graph Graph module supports basic operations on DAG.
• Owl_io
• 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_log Log module provides logging functionality.
• Owl_maths_interpolate Interpolation and Extrapolation
• Owl_maths_quadrature Numerical Integration
• Owl_maths_root Root finding algorithms for nonlinear functions
• Owl_neural_generic Functor to create neural networks of different precision.
• Owl_neural_graph Neural network: Graphical neural network
• Owl_neural_graph_sig
• Owl_neural_neuron Neural network: Neuron definitions
• Owl_neural_neuron_sig
• Owl_numdiff_generic
• Owl_numdiff_generic_sig Numdiff: numerical differentiation module
• Owl_operator
• Owl_optimise_generic Optimisation engine
• Owl_optimise_generic_sig
• Owl_pretty Pretty print the n-dimensional array
• Owl_types This module defines the types shared by various sub-libraries in Owl. Note that they just wrappers, to find the exact module signature, please refer to the definition in the corresponding module.
• Owl_types_common
• Owl_types_maths_basic
• Owl_types_ndarray_algodiff
• Owl_types_ndarray_basic
• Owl_types_ndarray_compare
• Owl_types_ndarray_mutable
• Owl_types_ndarray_numdiff
• Owl_types_operator Operator definitions such as add, sub, mul, and div. This signature defines the functions need to be implemented.
• Owl_types_stats_basic
• Owl_types_stats_dist
• Owl_utils Helper functions used in the library
• Owl_utils_array
• Owl_utils_conv
• Owl_utils_ndarray
• Owl_utils_stack
• Owl_view View module This module is used to create views atop of an ndarray. The view creation is very light-weighted and avoids copying actual data. You can further create views atop of existing views using slicing functions.