1. 03 12月, 2020 1 次提交
  2. 28 11月, 2020 1 次提交
  3. 27 11月, 2020 1 次提交
  4. 25 11月, 2020 1 次提交
  5. 23 11月, 2020 2 次提交
    • L
      Add EarlyStopping (#28691) · 70385518
      LiuChiachi 提交于
      * add early stopping
      
      * add doc for early stopping
      
      * fix sample code bugs
      
      * update infer of mode, update doc, add unittests to increase coverage rate
      
      * fix sample code for early stopping
      
      * update sample code and unittests
      
      * reduce time cost of test_callbacks unittest
      
      * fix model.py code style error
      70385518
    • L
      Add lr scheduler callback for high level api (#28737) · 00e55ded
      LielinJiang 提交于
      * add lr scheduler
      00e55ded
  6. 30 10月, 2020 1 次提交
  7. 30 9月, 2020 1 次提交
  8. 25 9月, 2020 1 次提交
  9. 31 8月, 2020 1 次提交
    • Q
      Move hapi to python/paddle root dir. (#26442) · f7fb4c22
      qingqing01 提交于
      * Move hapi form paddle/incubate to paddle
      
      * Remove vision/datasets/utils.py and clean code
      
      * Add sample code for conll05
      
      * Print pull path when saving model
      
      * Fix sample code after paramter_list of SGD is changed to parameters
      
      * Fix bug in wmt16 datase
      f7fb4c22
  10. 24 8月, 2020 1 次提交
  11. 20 8月, 2020 1 次提交
  12. 30 7月, 2020 1 次提交
  13. 24 7月, 2020 1 次提交
    • Q
      Refine Model of high level API (#25559) · b5f8784c
      qingqing01 提交于
      * Refine Model
      
      1. Take the network (instance of Layer) as the input of Model.
      2. Refine set_dict/load_dict of Layer.
      3. Refine Input interface, so update code sample about Input
      b5f8784c
  14. 11 5月, 2020 1 次提交
    • Q
      Add a high-level API with traning and inference into Paddle. (#24293) · 43625bda
      qingqing01 提交于
      * Merge hapi into Paddle
      
      Hapi is a high level API for training and inference.
      The main modules include Model, Loss, Metrics, Dataset.
      Also includes common modules and models in NLP and computer vision, such as BERT, ResNet.
      
      These modules are developed by:
      0YuanZhang0, guoshengCS heavengate, LielinJiang, qingqing01, xyzhou-puck huangjun12, wangxiao1021, zhangyang.
      43625bda