package owl

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in-package search v0.2.0

package owl

owl
- Owl
- Owl_algodiff
  - D
    
    Arr
    
    Mat
    
    Maths
  - S
    
    Arr
    
    Mat
    
    Maths
- Owl_algodiff_generic
  - Make
    
    A
    
    Arr
    
    M
    
    Mat
    
    Maths
  - MatrixSig
  - NdarraySig
- Owl_algodiff_numerical
- Owl_backend_gsl_linalg
- Owl_backend_gsl_maths
- Owl_backend_gsl_stats
- Owl_cluster
- Owl_const
  - CGS
  - CGSM
  - MKS
  - Prefix
  - SI
- Owl_conv
- Owl_dataset
- Owl_dense
- Owl_dense_common
- Owl_dense_matrix
  - C
  - D
  - Generic
  - Operator
  - S
  - Z
- Owl_dense_matrix_c
- Owl_dense_matrix_d
- Owl_dense_matrix_generic
- Owl_dense_matrix_s
- Owl_dense_matrix_z
- Owl_dense_ndarray
  - C
  - D
  - Generic
  - Operator
  - S
  - Z
- Owl_dense_ndarray_a
- Owl_dense_ndarray_c
- Owl_dense_ndarray_d
- Owl_dense_ndarray_generic
- Owl_dense_ndarray_s
- Owl_dense_ndarray_z
- Owl_dense_vector
- Owl_dense_vector_c
- Owl_dense_vector_d
- Owl_dense_vector_generic
- Owl_dense_vector_s
- Owl_dense_vector_z
- Owl_ext
  - Dense
- Owl_ext_binop
  - C_C
  - C_DAC
  - C_DAD
  - C_DAS
  - C_DAZ
  - C_DMC
  - C_DMD
  - C_DMS
  - C_DMZ
  - C_F
  - DAC_C
  - DAC_DAC
  - DAC_DAD
  - DAC_DAS
  - DAC_DAZ
  - DAC_F
  - DAD_C
  - DAD_DAC
  - DAD_DAD
  - DAD_DAS
  - DAD_DAZ
  - DAD_F
  - DAS_C
  - DAS_DAC
  - DAS_DAD
  - DAS_DAS
  - DAS_DAZ
  - DAS_F
  - DAZ_C
  - DAZ_DAC
  - DAZ_DAD
  - DAZ_DAS
  - DAZ_DAZ
  - DAZ_F
  - DMC_C
  - DMC_DMC
  - DMC_DMD
  - DMC_DMS
  - DMC_DMZ
  - DMC_F
  - DMD_C
  - DMD_DMC
  - DMD_DMD
  - DMD_DMS
  - DMD_DMZ
  - DMD_F
  - DMS_C
  - DMS_DMC
  - DMS_DMD
  - DMS_DMS
  - DMS_DMZ
  - DMS_F
  - DMZ_C
  - DMZ_DMC
  - DMZ_DMD
  - DMZ_DMS
  - DMZ_DMZ
  - DMZ_F
  - F_C
  - F_DAC
  - F_DAD
  - F_DAS
  - F_DAZ
  - F_DMC
  - F_DMD
  - F_DMS
  - F_DMZ
  - F_F
- Owl_ext_dense_matrix
  - BasicSig
  - C
  - CZ_Sig
  - D
  - Make_Basic
    
    M
    
    P
  - Make_CZ
    
    M
    
    P
  - Make_SD
    
    M
    
    P
  - PackSig
  - Pack_DMC
  - Pack_DMD
  - Pack_DMS
  - Pack_DMZ
  - S
  - SD_Sig
  - Z
- Owl_ext_dense_ndarray
  - BasicSig
  - C
  - CZ_Sig
  - D
  - Make_Basic
    
    M
    
    P
  - Make_CZ
    
    M
    
    P
  - Make_SD
    
    M
    
    P
  - PackSig
  - Pack_DAC
  - Pack_DAD
  - Pack_DAS
  - Pack_DAZ
  - S
  - SD_Sig
  - Z
- Owl_ext_lifts
  - DAC_DAD
  - DAC_DAZ
  - DAD_DAZ
  - DAS_DAC
  - DAS_DAD
  - DAS_DAZ
  - DMC_DMD
  - DMC_DMZ
  - DMD_DMZ
  - DMS_DMC
  - DMS_DMD
  - DMS_DMZ
  - F_C
- Owl_ext_types
- Owl_ext_uniop
  - C
  - DAC
  - DAD
  - DAS
  - DAZ
  - DMC
  - DMD
  - DMS
  - DMZ
  - F
- Owl_fft
- Owl_linalg
- Owl_maths
- Owl_nlp
- Owl_nlp_corpus
- Owl_nlp_lda
  - FTreeLDA
  - LightLDA
  - SimpleLDA
  - SparseLDA
- Owl_nlp_lda0
  - FTreeLDA
  - LightLDA
  - SimpleLDA
  - SparseLDA
- Owl_nlp_similarity
- Owl_nlp_tfidf
- Owl_nlp_utils
- Owl_nlp_vocabulary
- Owl_operator
  - BasicSig
  - ExtendSig
  - Make_Basic
    
    M
  - Make_Extend
    
    M
  - Make_Matrix
    
    M
  - MatrixSig
- Owl_optimise
- Owl_parallel
  - Make_Distributed
    
    E
    
    M
  - Make_Distributed_Any
    
    E
    
    M
  - Make_Shared
    
    E
    
    M
  - Mapre_Engine
  - Ndarray
  - Ndarray_Any
- Owl_plot
- Owl_pretty
  - Context
  - Toplevel
- Owl_regression
- Owl_slicing
- Owl_sparse
- Owl_sparse_common
- Owl_sparse_dok_matrix
- Owl_sparse_matrix
  - C
  - D
  - Generic
  - Operator
  - S
  - Z
- Owl_sparse_matrix_c
- Owl_sparse_matrix_d
- Owl_sparse_matrix_generic
- Owl_sparse_matrix_s
- Owl_sparse_matrix_z
- Owl_sparse_ndarray
  - C
  - D
  - Generic
  - Operator
  - S
  - Z
- Owl_sparse_ndarray_c
- Owl_sparse_ndarray_d
- Owl_sparse_ndarray_generic
- Owl_sparse_ndarray_s
- Owl_sparse_ndarray_z
- Owl_stats
  - Cdf
  - Pdf
  - Rnd
- Owl_toplevel
- Owl_types
- Owl_utils
  - Stack
owl_neural
- Owl_neural
- Owl_neural_feedforward
- Owl_neural_graph
- Owl_neural_neuron
  - Activation
  - Add
  - Average
  - AvgPool1D
  - AvgPool2D
  - Concatenate
  - Conv1D
  - Conv2D
  - Conv3D
  - Dot
  - Dropout
  - Flatten
  - FullyConnected
  - GRU
  - GaussianDropout
  - GaussianNoise
  - Init
  - Input
  - LSTM
  - Lambda
  - Linear
  - LinearNoBias
  - Masking
  - Max
  - MaxPool1D
  - MaxPool2D
  - Mul
  - Normalisation
  - Padding1D
  - Padding2D
  - Padding3D
  - Recurrent
  - Reshape
  - UpSampling1D
  - UpSampling2D
  - UpSampling3D
- Owl_neural_optimise
  - Batch
  - Clipping
  - Gradient
  - Learning_Rate
  - Loss
  - Momentum
  - Params
  - Regularisation
  - Stopping
  - Utils
- Owl_neural_parallel
  - EngineSig
  - Make
    
    E
    
    M
  - ModelSig

Legend:
Library
Module
Module type
Parameter
Class
Class type

val empty : int -> int -> P.mat

val create : int -> int -> P.elt -> P.mat

val zeros : int -> int -> P.mat

val ones : int -> int -> P.mat

val eye : int -> P.mat

val sequential : ?a:P.elt -> ?step:P.elt -> int -> int -> P.mat

val uniform_int : ?a:int -> ?b:int -> int -> int -> P.mat

val uniform : ?scale:float -> int -> int -> P.mat

val gaussian : ?sigma:float -> int -> int -> P.mat

val linspace : P.elt -> P.elt -> int -> P.mat

val meshgrid : P.elt -> P.elt -> P.elt -> P.elt -> int -> int -> P.mat * P.mat

val meshup : P.mat -> P.mat -> P.mat * P.mat

val shape : P.mat -> int * int

val row_num : P.mat -> int

val col_num : P.mat -> int

val numel : P.mat -> int

val nnz : P.mat -> int

val density : P.mat -> float

val size_in_bytes : P.mat -> int

val same_shape : P.mat -> P.mat -> bool

val get : P.mat -> int -> int -> P.elt

val set : P.mat -> int -> int -> P.elt -> unit

val row : P.mat -> int -> P.mat

val col : P.mat -> int -> P.mat

val rows : P.mat -> int array -> P.mat

val cols : P.mat -> int array -> P.mat

val reshape : int -> int -> P.mat -> P.mat

val flatten : P.mat -> P.mat

val slice : int list list -> P.mat -> P.mat

val reverse : P.mat -> P.mat

val reset : P.mat -> unit

val fill : P.mat -> P.elt -> unit

val clone : P.mat -> P.mat

val copy_to : P.mat -> P.mat -> unit

val copy_row_to : P.mat -> P.mat -> int -> unit

val copy_col_to : P.mat -> P.mat -> int -> unit

val concat_vertical : P.mat -> P.mat -> P.mat

val concat_horizontal : P.mat -> P.mat -> P.mat

val transpose : P.mat -> P.mat

val diag : P.mat -> P.mat

val replace_row : P.mat -> P.mat -> int -> P.mat

val replace_col : P.mat -> P.mat -> int -> P.mat

val swap_rows : P.mat -> int -> int -> unit

val swap_cols : P.mat -> int -> int -> unit

val tile : P.mat -> int array -> P.mat

val repeat : ?axis:int -> P.mat -> int -> P.mat

val iteri : (int -> int -> P.elt -> unit) -> P.mat -> unit

val iter : (P.elt -> unit) -> P.mat -> unit

val mapi : (int -> int -> P.elt -> P.elt) -> P.mat -> P.mat

val map : (P.elt -> P.elt) -> P.mat -> P.mat

val map2i : (int -> int -> P.elt -> P.elt -> P.elt) -> P.mat -> P.mat -> P.mat

val map2 : (P.elt -> P.elt -> P.elt) -> P.mat -> P.mat -> P.mat

val foldi : (int -> int -> 'a -> P.elt -> 'a) -> 'a -> P.mat -> 'a

val fold : ('a -> P.elt -> 'a) -> 'a -> P.mat -> 'a

val filteri : (int -> int -> P.elt -> bool) -> P.mat -> (int * int) array

val filter : (P.elt -> bool) -> P.mat -> (int * int) array

val iteri_rows : (int -> P.mat -> unit) -> P.mat -> unit

val iter_rows : (P.mat -> unit) -> P.mat -> unit

val iter2i_rows : (int -> P.mat -> P.mat -> unit) -> P.mat -> P.mat -> unit

val iter2_rows : (P.mat -> P.mat -> unit) -> P.mat -> P.mat -> unit

val iteri_cols : (int -> P.mat -> unit) -> P.mat -> unit

val iter_cols : (P.mat -> unit) -> P.mat -> unit

val filteri_rows : (int -> P.mat -> bool) -> P.mat -> int array

val filter_rows : (P.mat -> bool) -> P.mat -> int array

val filteri_cols : (int -> P.mat -> bool) -> P.mat -> int array

val filter_cols : (P.mat -> bool) -> P.mat -> int array

val fold_rows : ('a -> P.mat -> 'a) -> 'a -> P.mat -> 'a

val fold_cols : ('a -> P.mat -> 'a) -> 'a -> P.mat -> 'a

val mapi_rows : (int -> P.mat -> 'a) -> P.mat -> 'a array

val map_rows : (P.mat -> 'a) -> P.mat -> 'a array

val mapi_cols : (int -> P.mat -> 'a) -> P.mat -> 'a array

val map_cols : (P.mat -> 'a) -> P.mat -> 'a array

val mapi_by_row : int -> (int -> P.mat -> P.mat) -> P.mat -> P.mat

val map_by_row : int -> (P.mat -> P.mat) -> P.mat -> P.mat

val mapi_by_col : int -> (int -> P.mat -> P.mat) -> P.mat -> P.mat

val map_by_col : int -> (P.mat -> P.mat) -> P.mat -> P.mat

val mapi_at_row : (int -> int -> P.elt -> P.elt) -> P.mat -> int -> P.mat

val map_at_row : (P.elt -> P.elt) -> P.mat -> int -> P.mat

val mapi_at_col : (int -> int -> P.elt -> P.elt) -> P.mat -> int -> P.mat

val map_at_col : (P.elt -> P.elt) -> P.mat -> int -> P.mat

val exists : (P.elt -> bool) -> P.mat -> bool

val not_exists : (P.elt -> bool) -> P.mat -> bool

val for_all : (P.elt -> bool) -> P.mat -> bool

val is_zero : P.mat -> bool

val is_positive : P.mat -> bool

val is_negative : P.mat -> bool

val is_nonpositive : P.mat -> bool

val is_nonnegative : P.mat -> bool

val equal : P.mat -> P.mat -> bool

val not_equal : P.mat -> P.mat -> bool

val greater : P.mat -> P.mat -> bool

val less : P.mat -> P.mat -> bool

val greater_equal : P.mat -> P.mat -> bool

val less_equal : P.mat -> P.mat -> bool

val elt_equal : P.mat -> P.mat -> P.mat

val elt_not_equal : P.mat -> P.mat -> P.mat

val elt_less : P.mat -> P.mat -> P.mat

val elt_greater : P.mat -> P.mat -> P.mat

val elt_less_equal : P.mat -> P.mat -> P.mat

val elt_greater_equal : P.mat -> P.mat -> P.mat

val equal_scalar : P.mat -> P.elt -> bool

val not_equal_scalar : P.mat -> P.elt -> bool

val less_scalar : P.mat -> P.elt -> bool

val greater_scalar : P.mat -> P.elt -> bool

val less_equal_scalar : P.mat -> P.elt -> bool

val greater_equal_scalar : P.mat -> P.elt -> bool

val elt_equal_scalar : P.mat -> P.elt -> P.mat

val elt_not_equal_scalar : P.mat -> P.elt -> P.mat

val elt_less_scalar : P.mat -> P.elt -> P.mat

val elt_greater_scalar : P.mat -> P.elt -> P.mat

val elt_less_equal_scalar : P.mat -> P.elt -> P.mat

val elt_greater_equal_scalar : P.mat -> P.elt -> P.mat

val draw_rows : ?replacement:bool -> P.mat -> int -> P.mat * int array

val draw_cols : ?replacement:bool -> P.mat -> int -> P.mat * int array

val draw_rows2 : 
  ?replacement:bool ->
  P.mat ->
  P.mat ->
  int ->
  P.mat * P.mat * int array

val draw_cols2 : 
  ?replacement:bool ->
  P.mat ->
  P.mat ->
  int ->
  P.mat * P.mat * int array

val shuffle_rows : P.mat -> P.mat

val shuffle_cols : P.mat -> P.mat

val shuffle : P.mat -> P.mat

val to_array : P.mat -> P.elt array

val of_array : P.elt array -> int -> int -> P.mat

val to_arrays : P.mat -> P.elt array array

val of_arrays : P.elt array array -> P.mat

val to_rows : P.mat -> P.mat array

val of_rows : P.mat array -> P.mat

val to_cols : P.mat -> P.mat array

val of_cols : P.mat array -> P.mat

val print : P.mat -> unit

val pp_dsmat : P.mat -> unit

val save : P.mat -> string -> unit

val load : string -> P.mat

val inv : P.mat -> P.mat

val trace : P.mat -> P.elt

val sum : P.mat -> P.elt

val prod : P.mat -> P.elt

val average : P.mat -> P.elt

val sum_rows : P.mat -> P.mat

val sum_cols : P.mat -> P.mat

val average_rows : P.mat -> P.mat

val average_cols : P.mat -> P.mat

val add : P.mat -> P.mat -> P.mat

val sub : P.mat -> P.mat -> P.mat

val mul : P.mat -> P.mat -> P.mat

val div : P.mat -> P.mat -> P.mat

val add_scalar : P.mat -> P.elt -> P.mat

val sub_scalar : P.mat -> P.elt -> P.mat

val mul_scalar : P.mat -> P.elt -> P.mat

val div_scalar : P.mat -> P.elt -> P.mat

val scalar_add : P.elt -> P.mat -> P.mat

val scalar_sub : P.elt -> P.mat -> P.mat

val scalar_mul : P.elt -> P.mat -> P.mat

val scalar_div : P.elt -> P.mat -> P.mat

val dot : P.mat -> P.mat -> P.mat