SYMBOL INDEX (40 symbols across 19 files)

FILE: Jupyter_nnmodel/feature_generater.py
  function Multiply_Divide (line 6) | def Multiply_Divide(train, test, features):
  function Series_string (line 24) | def Series_string(train, test, category_list):
  function Features_Counts (line 61) | def Features_Counts(train, test, features):
  function Statistic_features (line 73) | def Statistic_features(train, test, target_features, group_features):
  function features_type (line 84) | def features_type(train):

FILE: Jupyter_nnmodel/util.py
  function Gini (line 4) | def Gini(y_true, y_pred):
  function cat_count (line 28) | def cat_count(train_df, test_df, cat_list):
  function proj_num_on_cat (line 52) | def proj_num_on_cat(train_df, test_df, target_column, group_column):
  function interaction_features (line 120) | def interaction_features(train, test, fea1, fea2, prefix):

FILE: code/gbm_model291.py
  function Gini (line 9) | def Gini(y_true, y_pred):
  function evalerror (line 36) | def evalerror(preds, dtrain):

FILE: code/nn_model290.py
  function nn_model (line 159) | def nn_model():
  function get_rank (line 222) | def get_rank(x):

FILE: code/simple_average.py
  function get_rank (line 8) | def get_rank(x):

FILE: code/util.py
  function Gini (line 4) | def Gini(y_true, y_pred):
  function cat_count (line 28) | def cat_count(train_df, test_df, cat_list):
  function proj_num_on_cat (line 52) | def proj_num_on_cat(train_df, test_df, target_column, group_column):
  function interaction_features (line 100) | def interaction_features(train, test, fea1, fea2, prefix):

FILE: code_for_exact_solution/keras3.py
  function evalerror (line 44) | def evalerror(preds, dtrain):
  function nn_model (line 141) | def nn_model():

FILE: code_for_exact_solution/keras6.py
  function evalerror (line 44) | def evalerror(preds, dtrain):
  function nn_model (line 213) | def nn_model():
  function nn_model (line 262) | def nn_model():
  function get_rank (line 325) | def get_rank(x):

FILE: code_for_exact_solution/keras7.py
  function evalerror (line 44) | def evalerror(preds, dtrain):
  function nn_model (line 230) | def nn_model():
  function get_rank (line 293) | def get_rank(x):

FILE: code_for_exact_solution/lightgbm1.py
  function evalerror (line 19) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/lightgbm5.py
  function evalerror (line 50) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/lightgbm6.py
  function evalerror (line 50) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/lightgbm7.py
  function evalerror (line 50) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/lightgbm8.py
  function evalerror (line 62) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/logistic1.py
  function evalerror (line 23) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/rank_average.py
  function get_rank (line 4) | def get_rank(x):

FILE: code_for_exact_solution/util.py
  function Gini (line 4) | def Gini(y_true, y_pred):
  function cat_count (line 28) | def cat_count(train_df, test_df, cat_list):
  function proj_num_on_cat (line 52) | def proj_num_on_cat(train_df, test_df, target_column, group_column):
  function interaction_features (line 100) | def interaction_features(train, test, fea1, fea2, prefix):

FILE: code_for_exact_solution/xgb0.py
  function evalerror (line 20) | def evalerror(preds, dtrain):

FILE: code_for_exact_solution/xgb_linear0.py
  function evalerror (line 44) | def evalerror(preds, dtrain):