package owl

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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_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_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_layer
  - Activation
  - AvgPool2D
  - Conv2D
  - Conv3D
  - Dropout
  - Feedforward
  - Flatten
  - FullyConnected
  - GRU
  - Init
  - Input
  - LSTM
  - Lambda
  - Linear
  - LinearNoBias
  - MaxPool2D
  - Recurrent
  - Reshape
- Owl_neural_optimise
  - Batch
  - Clipping
  - Gradient
  - Learning_Rate
  - Loss
  - Momentum
  - Params
  - Regularisation
  - Stopping
  - Utils

Legend:
Library
Module
Module type
Parameter
Class
Class type

module MX = Owl_dense_matrix_d

module UT = Owl_utils

K-means clustering algorithm x is the row-based data points and c is the number of clusters.

val kmeans : MX.mat -> int -> MX.mat * int array