SYMBOL INDEX (249 symbols across 39 files)

FILE: THLUO/10.age_bin_prob_oof.py
  function timeStamp (line 84) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 177) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 191) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 220) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 227) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 234) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 241) | def device_active_hour() :
  function device_brand_encoding (line 253) | def device_brand_encoding() :
  function device_active_time_time_stat (line 288) | def device_active_time_time_stat() :
  function app_type_encoding (line 325) | def app_type_encoding() :
  function app_type_onehot_in_device (line 359) | def app_type_onehot_in_device(df) :
  function tool (line 416) | def tool(x):

FILE: THLUO/11.hcc_device_brand_age_sex.py
  function hcc_encode (line 101) | def hcc_encode(train_df, test_df, variable, target, prior_prob, k=5, f=1...

FILE: THLUO/12.device_age_regression_prob_oof.py
  function timeStamp (line 84) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 120) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 134) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 163) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 170) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 177) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 184) | def device_active_hour() :
  function device_brand_encoding (line 196) | def device_brand_encoding() :
  function device_active_time_time_stat (line 231) | def device_active_time_time_stat() :
  function app_type_encoding (line 268) | def app_type_encoding() :
  function app_type_onehot_in_device (line 302) | def app_type_onehot_in_device(df) :

FILE: THLUO/13.device_start_GRU_pred.py
  function tool (line 70) | def tool(x):
  function get_mut_label (line 106) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 112) | class RocAucEvaluation(Callback):
    method __init__ (line 113) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 119) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 131) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/14.device_start_GRU_pred_age.py
  function get_mut_label (line 95) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 101) | class RocAucEvaluation(Callback):
    method __init__ (line 102) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 108) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 120) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/15.device_all_GRU_pred.py
  function tool (line 69) | def tool(x):
  function get_mut_label (line 105) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 111) | class RocAucEvaluation(Callback):
    method __init__ (line 112) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 118) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 130) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/16.device_start_capsule_pred.py
  function tool (line 69) | def tool(x):
  function get_mut_label (line 105) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 111) | class RocAucEvaluation(Callback):
    method __init__ (line 112) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 118) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 130) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/17.device_start_textcnn_pred.py
  function tool (line 69) | def tool(x):
  function get_mut_label (line 105) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 111) | class RocAucEvaluation(Callback):
    method __init__ (line 112) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 118) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 130) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/18.device_start_text_dpcnn_pred.py
  function tool (line 69) | def tool(x):
  function get_mut_label (line 105) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 111) | class RocAucEvaluation(Callback):
    method __init__ (line 112) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 118) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 130) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/19.device_start_lstm_pred.py
  function tool (line 61) | def tool(x):
  function get_mut_label (line 97) | def get_mut_label(y_label) :
  class RocAucEvaluation (line 103) | class RocAucEvaluation(Callback):
    method __init__ (line 104) | def __init__(self, validation_data=(), interval=1):
    method on_epoch_end (line 110) | def on_epoch_end(self, epoch, logs={}):
  function w2v_pad (line 122) | def w2v_pad(df_train,df_test,col, maxlen_,victor_size, num_words):

FILE: THLUO/20.lgb_sex_age_prob_oof.py
  function timeStamp (line 84) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 119) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 133) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 162) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 169) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 176) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 183) | def device_active_hour() :
  function device_brand_encoding (line 195) | def device_brand_encoding() :
  function device_active_time_time_stat (line 230) | def device_active_time_time_stat() :
  function app_type_encoding (line 267) | def app_type_encoding() :
  function app_type_onehot_in_device (line 301) | def app_type_onehot_in_device(df) :
  function tool (line 416) | def tool(x):

FILE: THLUO/21.tfidf_lr_sex_age_prob_oof.py
  function tool (line 150) | def tool(x):

FILE: THLUO/22.base_feat.py
  function timeStamp (line 83) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 119) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 133) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 162) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 169) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 176) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 183) | def device_active_hour() :
  function device_brand_encoding (line 195) | def device_brand_encoding() :
  function device_active_time_time_stat (line 230) | def device_active_time_time_stat() :
  function app_type_encoding (line 267) | def app_type_encoding() :
  function app_type_onehot_in_device (line 301) | def app_type_onehot_in_device(df) :
  function tool (line 457) | def tool(x):

FILE: THLUO/23.ATT_v6.py
  function dot_product (line 90) | def dot_product(x, kernel):
  class AttentionWithContext (line 104) | class AttentionWithContext(Layer):
    method __init__ (line 125) | def __init__(self,
    method build (line 144) | def build(self, input_shape):
    method compute_mask (line 167) | def compute_mask(self, input, input_mask=None):
    method call (line 171) | def call(self, x, mask=None):
    method compute_output_shape (line 196) | def compute_output_shape(self, input_shape):
  class AdamW (line 199) | class AdamW(Optimizer):
    method __init__ (line 200) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 214) | def get_updates(self, loss, params):
    method get_config (line 248) | def get_config(self):
  function model_conv1D (line 258) | def model_conv1D(embedding_matrix):
  function model_age_conv (line 327) | def model_age_conv(embedding_matrix):

FILE: THLUO/25.thluo_22_xgb.py
  function tool (line 112) | def tool(x):

FILE: THLUO/3.device_quchong_start_app_w2c.py
  function timeStamp (line 84) | def timeStamp(timeNum):

FILE: THLUO/4.device_age_prob_oof.py
  function timeStamp (line 85) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 129) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 143) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 172) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 179) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 186) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 193) | def device_active_hour() :
  function device_brand_encoding (line 205) | def device_brand_encoding() :
  function device_active_time_time_stat (line 240) | def device_active_time_time_stat() :
  function app_type_encoding (line 277) | def app_type_encoding() :
  function app_type_onehot_in_device (line 311) | def app_type_onehot_in_device(df) :

FILE: THLUO/5.device_sex_prob_oof.py
  function timeStamp (line 84) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 127) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 141) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 170) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 177) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 184) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 191) | def device_active_hour() :
  function device_brand_encoding (line 203) | def device_brand_encoding() :
  function device_active_time_time_stat (line 238) | def device_active_time_time_stat() :
  function app_type_encoding (line 275) | def app_type_encoding() :
  function app_type_onehot_in_device (line 309) | def app_type_onehot_in_device(df) :

FILE: THLUO/6.start_close_age_prob_oof.py
  function timeStamp (line 93) | def timeStamp(timeNum):

FILE: THLUO/7.start_close_sex_prob_oof.py
  function timeStamp (line 92) | def timeStamp(timeNum):

FILE: THLUO/9.sex_age_bin_prob_oof.py
  function timeStamp (line 84) | def timeStamp(timeNum):
  function open_app_timegap_in_hour (line 119) | def open_app_timegap_in_hour() :
  function device_start_end_app_timegap (line 133) | def device_start_end_app_timegap() :
  function open_app_counts_in_hour (line 162) | def open_app_counts_in_hour() :
  function close_app_counts_in_hour (line 169) | def close_app_counts_in_hour() :
  function app_type_mean_time_gap_one_hot (line 176) | def app_type_mean_time_gap_one_hot () :
  function device_active_hour (line 183) | def device_active_hour() :
  function device_brand_encoding (line 195) | def device_brand_encoding() :
  function device_active_time_time_stat (line 230) | def device_active_time_time_stat() :
  function app_type_encoding (line 267) | def app_type_encoding() :
  function app_type_onehot_in_device (line 301) | def app_type_onehot_in_device(df) :
  function tool (line 415) | def tool(x):

FILE: THLUO/TextModel.py
  function capsule_lstm (line 30) | def capsule_lstm(sent_length, embeddings_weight,class_num):
  function get_text_capsule (line 60) | def get_text_capsule(sent_length, embeddings_weight,class_num):
  function get_text_cnn1 (line 85) | def get_text_cnn1(sent_length, embeddings_weight,class_num):
  function get_text_cnn2 (line 130) | def get_text_cnn2(sent_length, embeddings_weight,class_num):
  function get_text_cnn3 (line 176) | def get_text_cnn3(sent_length, embeddings_weight,class_num):
  function get_text_gru1 (line 217) | def get_text_gru1(sent_length, embeddings_weight,class_num):
  function get_text_gru2 (line 246) | def get_text_gru2(sent_length, embeddings_weight,class_num):
  function get_text_gru4 (line 276) | def get_text_gru4(sent_length, embeddings_weight,class_num):
  function get_text_gru5 (line 305) | def get_text_gru5(sent_length, embeddings_weight,class_num):
  function get_text_gru6 (line 336) | def get_text_gru6(sent_length, embeddings_weight,class_num):
  function get_text_rcnn1 (line 371) | def get_text_rcnn1(sent_length, embeddings_weight,class_num):
  function get_text_rcnn2 (line 399) | def get_text_rcnn2(sent_length, embeddings_weight,class_num):
  function get_text_rcnn3 (line 428) | def get_text_rcnn3(sent_length, embeddings_weight,class_num):
  function get_text_rcnn4 (line 462) | def get_text_rcnn4(sent_length, embeddings_weight,class_num):
  function get_text_rcnn5 (line 493) | def get_text_rcnn5(sent_length, embeddings_weight,class_num):
  function get_text_lstm1 (line 526) | def get_text_lstm1(sent_length, embeddings_weight,class_num):
  function get_text_lstm2 (line 551) | def get_text_lstm2(sent_length, embeddings_weight,class_num):
  function get_text_lstm3 (line 577) | def get_text_lstm3(sent_length, embeddings_weight,class_num):
  function get_text_lstm_attention (line 605) | def get_text_lstm_attention(sent_length, embeddings_weight,class_num):
  function get_text_dpcnn (line 631) | def get_text_dpcnn(sent_length, embeddings_weight,class_num):
  function bi_gru_model (line 694) | def bi_gru_model(sent_length, embeddings_weight,class_num):
  function bi_gru_model_binary (line 723) | def bi_gru_model_binary(sent_length, embeddings_weight,class_num):

FILE: THLUO/util.py
  class Attention (line 44) | class Attention(Layer):
    method __init__ (line 45) | def __init__(self, step_dim,
    method build (line 79) | def build(self, input_shape):
    method compute_mask (line 100) | def compute_mask(self, input, input_mask=None):
    method call (line 104) | def call(self, x, mask=None):
    method compute_output_shape (line 135) | def compute_output_shape(self, input_shape):
  function squash (line 140) | def squash(x, axis=-1):
  class Capsule (line 146) | class Capsule(Layer):
    method __init__ (line 147) | def __init__(self, num_capsule, dim_capsule, routings=3, kernel_size=(...
    method build (line 160) | def build(self, input_shape):
    method call (line 179) | def call(self, u_vecs):
    method compute_output_shape (line 204) | def compute_output_shape(self, input_shape):
  class AttentionWeightedAverage (line 208) | class AttentionWeightedAverage(Layer):
    method __init__ (line 214) | def __init__(self, return_attention=False, **kwargs):
    method build (line 220) | def build(self, input_shape):
    method call (line 230) | def call(self, x, mask=None):
    method get_output_shape_for (line 251) | def get_output_shape_for(self, input_shape):
    method compute_output_shape (line 254) | def compute_output_shape(self, input_shape):
    method compute_mask (line 260) | def compute_mask(self, input, input_mask=None):
  class KMaxPooling (line 267) | class KMaxPooling(Layer):
    method __init__ (line 273) | def __init__(self, k=1, **kwargs):
    method compute_output_shape (line 278) | def compute_output_shape(self, input_shape):
    method call (line 281) | def call(self, inputs):
  function performance (line 292) | def performance(f):  # 定义装饰器函数，功能是传进来的函数进行包装并返回包装后的函数
  function f1 (line 303) | def f1(y_true, y_pred):
  function f1 (line 336) | def f1(y_true, y_pred):
  function evalation_score (line 368) | def evalation_score(y_true,y_pred):

FILE: chizhu/single_model/cnn.py
  class AdamW (line 157) | class AdamW(Optimizer):
    method __init__ (line 158) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 173) | def get_updates(self, loss, params):
    method get_config (line 208) | def get_config(self):
  function model_conv1D (line 222) | def model_conv1D(embedding_matrix):
  function model_age_conv (line 343) | def model_age_conv(embedding_matrix):

FILE: chizhu/single_model/deepnn.py
  class AdamW (line 82) | class AdamW(Optimizer):
    method __init__ (line 83) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 98) | def get_updates(self, loss, params):
    method get_config (line 133) | def get_config(self):
  function model_conv1D_sex (line 144) | def model_conv1D_sex(embedding_matrix):
  function model_age_conv (line 282) | def model_age_conv(embedding_matrix):

FILE: chizhu/single_model/lgb.py
  function get_str (line 53) | def get_str(df):

FILE: chizhu/single_model/yg_best_nn.py
  class AdamW (line 95) | class AdamW(Optimizer):
    method __init__ (line 96) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 111) | def get_updates(self, loss, params):
    method get_config (line 146) | def get_config(self):
  function model_conv1D (line 157) | def model_conv1D(embedding_matrix):
  function model_age_conv (line 267) | def model_age_conv(embedding_matrix):

FILE: linwangli/code/utils.py
  function weights_ensemble (line 4) | def weights_ensemble(results, weights):
  function result_corr (line 33) | def result_corr(path1, path2):

FILE: nb_cz_lwl_wcm/10_lgb.py
  function get_str (line 53) | def get_str(df):

FILE: nb_cz_lwl_wcm/11_cnn.py
  class AdamW (line 157) | class AdamW(Optimizer):
    method __init__ (line 158) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 173) | def get_updates(self, loss, params):
    method get_config (line 208) | def get_config(self):
  function model_conv1D (line 222) | def model_conv1D(embedding_matrix):
  function model_age_conv (line 343) | def model_age_conv(embedding_matrix):

FILE: nb_cz_lwl_wcm/12_get_feature_lwl.py
  function get_top100_statis_feat (line 31) | def get_top100_statis_feat(start_close):
  function get_brand_feat (line 45) | def get_brand_feat(brand):
  function get_start_close_tfidf_feat (line 62) | def get_start_close_tfidf_feat(data_all, start_close):
  function get_packages_w2c_feat (line 82) | def get_packages_w2c_feat(packages):
  function get_week_statis_feat (line 109) | def get_week_statis_feat(start_close):
  function get_user_behaviour_feat (line 125) | def get_user_behaviour_feat(start_close):

FILE: nb_cz_lwl_wcm/1_get_age_reg.py
  function get_label (line 17) | def get_label(row):
  function get_more_information (line 43) | def get_more_information(row):
  function xx_mse_s (line 92) | def xx_mse_s(y_true,y_pre):

FILE: nb_cz_lwl_wcm/3_get_feature_device_package.py
  function get_label (line 14) | def get_label(row):
  function get_more_information (line 44) | def get_more_information(row):
  function get_cluster (line 263) | def get_cluster(num_clusters):

FILE: nb_cz_lwl_wcm/4_get_feature_device_start_close_tfidf_1_2.py
  function dealed_row (line 33) | def dealed_row(row):
  function get_label (line 58) | def get_label(row):

FILE: nb_cz_lwl_wcm/5_get_feature_device_start_close_tfidf.py
  function dealed_row (line 31) | def dealed_row(row):
  function get_label (line 56) | def get_label(row):
  function get_cluster (line 247) | def get_cluster(num_clusters):

FILE: nb_cz_lwl_wcm/6_get_feature_device_start_close.py
  function get_max_label (line 36) | def get_max_label(row):

FILE: nb_cz_lwl_wcm/7_get_feature_w2v.py
  function get_w2v_avg (line 23) | def get_w2v_avg(text, w2v_out_path, word2vec_Path):

FILE: nb_cz_lwl_wcm/9_yg_best_nn.py
  class AdamW (line 95) | class AdamW(Optimizer):
    method __init__ (line 96) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 111) | def get_updates(self, loss, params):
    method get_config (line 146) | def get_config(self):
  function model_conv1D (line 157) | def model_conv1D(embedding_matrix):
  function model_age_conv (line 267) | def model_age_conv(embedding_matrix):

FILE: wangcanming/deepnet_v33.py
  class AdamW (line 72) | class AdamW(Optimizer):
    method __init__ (line 73) | def __init__(self, lr=0.001, beta_1=0.9, beta_2=0.999, weight_decay=1e...
    method get_updates (line 87) | def get_updates(self, loss, params):
    method get_config (line 121) | def get_config(self):
  function model_conv1D_sex (line 131) | def model_conv1D_sex(embedding_matrix):
  function model_age_conv (line 200) | def model_age_conv(embedding_matrix):