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_computation
• Owl_computation_cpu_device
• Owl_computation_cpu_engine
• Owl_computation_cpu_eval
• Owl_computation_cpu_init
• Owl_computation_engine This functor takes a device as its input, then it generates the computation graph module without flattening the module hierarchy.
• Owl_computation_engine_sig
• Owl_computation_graph
• Owl_computation_graph_sig
• Owl_computation_operator
• Owl_computation_operator_sig
• Owl_computation_optimiser
• Owl_computation_optimiser_sig
• Owl_computation_shape
• Owl_computation_shape_sig
• Owl_computation_symbol
• Owl_computation_symbol_sig
• Owl_computation_type
• Owl_computation_type_sig
• 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
• 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_compiler
• 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_computation_device
• Owl_types_computation_engine
• Owl_types_maths_basic
• Owl_types_ndarray_algodiff
• Owl_types_ndarray_basic
• Owl_types_ndarray_compare
• Owl_types_ndarray_eltcmp
• 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_infer_shape
• 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.