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author | Nao Pross <np@0hm.ch> | 2024-02-12 14:52:43 +0100 |
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committer | Nao Pross <np@0hm.ch> | 2024-02-12 14:52:43 +0100 |
commit | eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d (patch) | |
tree | bc2efa38ff4e350f9a111ac87065cd7ae9a911c7 /src/armadillo/include/armadillo_bits/gmm_misc_bones.hpp | |
download | fsisotool-eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d.tar.gz fsisotool-eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d.zip |
Move into version control
Diffstat (limited to 'src/armadillo/include/armadillo_bits/gmm_misc_bones.hpp')
-rw-r--r-- | src/armadillo/include/armadillo_bits/gmm_misc_bones.hpp | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/src/armadillo/include/armadillo_bits/gmm_misc_bones.hpp b/src/armadillo/include/armadillo_bits/gmm_misc_bones.hpp new file mode 100644 index 0000000..44507d4 --- /dev/null +++ b/src/armadillo/include/armadillo_bits/gmm_misc_bones.hpp @@ -0,0 +1,119 @@ +// SPDX-License-Identifier: Apache-2.0 +// +// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au) +// Copyright 2008-2016 National ICT Australia (NICTA) +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// ------------------------------------------------------------------------ + + +//! \addtogroup gmm_misc +//! @{ + + +struct gmm_dist_mode { const uword id; inline constexpr explicit gmm_dist_mode(const uword in_id) : id(in_id) {} }; + +inline bool operator==(const gmm_dist_mode& a, const gmm_dist_mode& b) { return (a.id == b.id); } +inline bool operator!=(const gmm_dist_mode& a, const gmm_dist_mode& b) { return (a.id != b.id); } + +struct gmm_dist_eucl : public gmm_dist_mode { inline constexpr gmm_dist_eucl() : gmm_dist_mode(1) {} }; +struct gmm_dist_maha : public gmm_dist_mode { inline constexpr gmm_dist_maha() : gmm_dist_mode(2) {} }; +struct gmm_dist_prob : public gmm_dist_mode { inline constexpr gmm_dist_prob() : gmm_dist_mode(3) {} }; + +static constexpr gmm_dist_eucl eucl_dist; +static constexpr gmm_dist_maha maha_dist; +static constexpr gmm_dist_prob prob_dist; + + + +struct gmm_seed_mode { const uword id; inline constexpr explicit gmm_seed_mode(const uword in_id) : id(in_id) {} }; + +inline bool operator==(const gmm_seed_mode& a, const gmm_seed_mode& b) { return (a.id == b.id); } +inline bool operator!=(const gmm_seed_mode& a, const gmm_seed_mode& b) { return (a.id != b.id); } + +struct gmm_seed_keep_existing : public gmm_seed_mode { inline constexpr gmm_seed_keep_existing() : gmm_seed_mode(1) {} }; +struct gmm_seed_static_subset : public gmm_seed_mode { inline constexpr gmm_seed_static_subset() : gmm_seed_mode(2) {} }; +struct gmm_seed_static_spread : public gmm_seed_mode { inline constexpr gmm_seed_static_spread() : gmm_seed_mode(3) {} }; +struct gmm_seed_random_subset : public gmm_seed_mode { inline constexpr gmm_seed_random_subset() : gmm_seed_mode(4) {} }; +struct gmm_seed_random_spread : public gmm_seed_mode { inline constexpr gmm_seed_random_spread() : gmm_seed_mode(5) {} }; + +static constexpr gmm_seed_keep_existing keep_existing; +static constexpr gmm_seed_static_subset static_subset; +static constexpr gmm_seed_static_spread static_spread; +static constexpr gmm_seed_random_subset random_subset; +static constexpr gmm_seed_random_spread random_spread; + + +namespace gmm_priv +{ + + +template<typename eT> class gmm_diag; +template<typename eT> class gmm_full; + + +struct gmm_empty_arg {}; + + +// running_mean_scalar + +template<typename eT> +class running_mean_scalar + { + public: + + inline running_mean_scalar(); + inline running_mean_scalar(const running_mean_scalar& in_rms); + + inline const running_mean_scalar& operator=(const running_mean_scalar& in_rms); + + arma_hot inline void operator() (const eT X); + + inline void reset(); + + inline uword count() const; + inline eT mean() const; + + + private: + + arma_aligned uword counter; + arma_aligned eT r_mean; + }; + + + +// distance + +template<typename eT, uword dist_id> +struct distance {}; + + +template<typename eT> +struct distance<eT, uword(1)> + { + arma_inline static eT eval(const uword N, const eT* A, const eT* B, const eT*); + }; + + + +template<typename eT> +struct distance<eT, uword(2)> + { + arma_inline static eT eval(const uword N, const eT* A, const eT* B, const eT* C); + }; + + +} + + +//! @} |