WIP uncommit me

build-python.sh

@@ -186,7 +186,7 @@ while [ $# -gt 0 ]; do
  shift
 done
 
-pip install --prefer-binary 'build>=0.10.0'
+venv/bin/pip install --prefer-binary 'build>=0.10.0'
 
 # create a new directory that just contains the files needed
 # to build the Python package
@@ -362,12 +362,12 @@ if test "${INSTALL}" = true; then
  echo "--- installing lightgbm ---"
  # ref for use of '--find-links': https://stackoverflow.com/a/52481267/3986677
  cd ../dist
- pip install \
+ ../venv/bin/pip install \
  ${PIP_INSTALL_ARGS} \
  --force-reinstall \
  --no-cache-dir \
  --find-links=. \
- lightgbm
+ lightgbm-*.whl
  cd ../
 fi
 

python-package/lightgbm/basic.py

@@ -3661,6 +3661,7 @@ def update(
  is_the_same_train_set = False
  else:
  is_the_same_train_set = train_set is self.train_set and self.train_set_version == train_set.version
+ print("t1")
  if train_set is not None and not is_the_same_train_set:
  if not isinstance(train_set, Dataset):
  raise TypeError(f'Training data should be Dataset instance, met {type(train_set).__name__}')
@@ -3673,6 +3674,7 @@ def update(
  self.train_set.construct()._handle))
  self.__inner_predict_buffer[0] = None
  self.train_set_version = self.train_set.version
+ print("t2")
  is_finished = ctypes.c_int(0)
  if fobj is None:
  if self.__set_objective_to_none:
@@ -3682,10 +3684,12 @@ def update(
  ctypes.byref(is_finished)))
  self.__is_predicted_cur_iter = [False for _ in range(self.__num_dataset)]
  return is_finished.value == 1
+ print("t3")
  else:
  if not self.__set_objective_to_none:
  self.reset_parameter({"objective": "none"}).__set_objective_to_none = True
  grad, hess = fobj(self.__inner_predict(0), self.train_set)
+ print("t4")
  return self.__boost(grad, hess)
 
  def __boost(

python-package/lightgbm/engine.py

@@ -264,6 +264,7 @@ def train(
  booster.best_iteration = 0
 
  # start training
+ print("t0")
  for i in range(init_iteration, init_iteration + num_boost_round):
  for cb in callbacks_before_iter:
  cb(callback.CallbackEnv(model=booster,

src/boosting/gbdt_model_text.cpp

@@ -23,6 +23,7 @@ std::string GBDT::DumpModel(int start_iteration, int num_iteration, int feature_
  Common::C_stringstream(str_buf);
 
  str_buf << "{";
+ str_buf << "\"TESTING\":\"" << "HAHA_v2" << "\"," << '\n';
  str_buf << "\"name\":\"" << SubModelName() << "\"," << '\n';
  str_buf << "\"version\":\"" << kModelVersion << "\"," << '\n';
  str_buf << "\"num_class\":" << num_class_ << "," << '\n';