[mlpack-git] [mlpack] Serialize ann layers and const correctness (#536)

stereomatchingkiss notifications at github.com
Wed Mar 2 00:48:47 EST 2016


Add serialize function to the layers of ann and const correctness.

Since CNN,FNN,and RNN can be serialized already, do we still need to make those layers serializeable?
You can view, comment on, or merge this pull request online at:

  https://github.com/mlpack/mlpack/pull/536

-- Commit Summary --

  * implement serialize
  * implement serialize and remove move constructor and move assignemnt since
  * implement serialize
  * implement serialize
  * implement serialize
  * only serialize weights
  * implement serialize
  * implement serialize
  * implement serialize
  * implement serialize
  * implement serialize
  * implement serialize
  * format codes
  * implement serialization
  * first commit
  * fix bug--did not specify range
  * merge from mlpack
  * adjust format
  * change namespace to boost and provide overload of serialize
  * remove useless file
  * remove serialization of net
  * const correctness and adjust format

-- File Changes --

    M src/mlpack/methods/ann/ffn_impl.hpp (2)
    M src/mlpack/methods/ann/layer/base_layer.hpp (12)
    M src/mlpack/methods/ann/layer/bias_layer.hpp (19)
    M src/mlpack/methods/ann/layer/binary_classification_layer.hpp (8)
    M src/mlpack/methods/ann/layer/conv_layer.hpp (21)
    M src/mlpack/methods/ann/layer/dropout_layer.hpp (14)
    M src/mlpack/methods/ann/layer/linear_layer.hpp (19)
    M src/mlpack/methods/ann/layer/lstm_layer.hpp (18)
    M src/mlpack/methods/ann/layer/pooling_layer.hpp (10)
    M src/mlpack/methods/ann/layer/recurrent_layer.hpp (22)
    M src/mlpack/methods/ann/layer/softmax_layer.hpp (14)
    M src/mlpack/methods/ann/layer/sparse_bias_layer.hpp (9)
    M src/mlpack/methods/ann/layer/sparse_input_layer.hpp (11)
    M src/mlpack/methods/ann/layer/sparse_output_layer.hpp (11)
    M src/mlpack/methods/ann/rnn_impl.hpp (2)

-- Patch Links --

https://github.com/mlpack/mlpack/pull/536.patch
https://github.com/mlpack/mlpack/pull/536.diff

---
Reply to this email directly or view it on GitHub:
https://github.com/mlpack/mlpack/pull/536
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