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ffm-baseline
Commit 88b38c66 authored by 王志伟's avatar 王志伟
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数据指标波动假设检验统计

parent f2a8e925
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Showing with 27 additions and 27 deletions
eda/recommended_indexs/hypothesis_test.py
View file @ 88b38c66
......@@ -79,24 +79,24 @@ x_ctr_new=[float(str(Decimal(x_ctr_new_temp[i][0]).quantize(Decimal('0.0000'))))
y_ctr_new_temp=DATA_fixed("clk_count_newUser_all","imp_count_newUser_all","ctr_new","bug_Recommendation_strategy_newUser")
y_ctr_new=[float(str(Decimal(y_ctr_new_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_new_temp))]
#
# #老用户ctr(page_view)
x_ctr_old_temp=DATA_recently("clk_count_oldUser_all","imp_count_oldUser_all","ctr_old","bug_Recommendation_strategy_temp",ten_days)
x_ctr_old=[float(str(Decimal(x_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_temp))]
y_ctr_old_temp=DATA_fixed("clk_count_oldUser_all","imp_count_oldUser_all","ctr_old","bug_Recommendation_strategy_temp")
y_ctr_old=[float(str(Decimal(y_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_old_temp))]
#
# #新用户ctr(on_click_diary_card)
x_ctr_new_o_temp=DATA_recently("clk_count_newUser_all_a","imp_count_newUser_all","ctr_new","on_click_diary_card",ten_days)
x_ctr_new_o=[float(str(Decimal(x_ctr_new_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_new_o_temp))]
y_ctr_new_o_temp=DATA_fixed("clk_count_newUser_all_a","imp_count_newUser_all","ctr_new","on_click_diary_card")
y_ctr_new_o=[float(str(Decimal(y_ctr_new_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_new_o_temp))]
#
# #老用户ctr(on_click_diary_card)
x_ctr_old_o_temp=DATA_recently("clk_count_oldUser_all_a","imp_count_oldUser_all","ctr_old","on_click_diary_card",ten_days)
x_ctr_old_o=[float(str(Decimal(x_ctr_old_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_o_temp))]
y_ctr_old_o_temp=DATA_fixed("clk_count_oldUser_all_a","imp_count_oldUser_all","ctr_old","on_click_diary_card")
y_ctr_old_o=[float(str(Decimal(y_ctr_old_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_old_o_temp))]
#
# # #老用户ctr(page_view)
# x_ctr_old_temp=DATA_recently("clk_count_oldUser_all","imp_count_oldUser_all","ctr_old","bug_Recommendation_strategy_temp",ten_days)
# x_ctr_old=[float(str(Decimal(x_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_temp))]
# y_ctr_old_temp=DATA_fixed("clk_count_oldUser_all","imp_count_oldUser_all","ctr_old","bug_Recommendation_strategy_temp")
# y_ctr_old=[float(str(Decimal(y_ctr_old_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_old_temp))]
# #
# # #新用户ctr(on_click_diary_card)
# x_ctr_new_o_temp=DATA_recently("clk_count_newUser_all_a","imp_count_newUser_all","ctr_new","on_click_diary_card",ten_days)
# x_ctr_new_o=[float(str(Decimal(x_ctr_new_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_new_o_temp))]
# y_ctr_new_o_temp=DATA_fixed("clk_count_newUser_all_a","imp_count_newUser_all","ctr_new","on_click_diary_card")
# y_ctr_new_o=[float(str(Decimal(y_ctr_new_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_new_o_temp))]
# #
# # #老用户ctr(on_click_diary_card)
# x_ctr_old_o_temp=DATA_recently("clk_count_oldUser_all_a","imp_count_oldUser_all","ctr_old","on_click_diary_card",ten_days)
# x_ctr_old_o=[float(str(Decimal(x_ctr_old_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(x_ctr_old_o_temp))]
# y_ctr_old_o_temp=DATA_fixed("clk_count_oldUser_all_a","imp_count_oldUser_all","ctr_old","on_click_diary_card")
# y_ctr_old_o=[float(str(Decimal(y_ctr_old_o_temp[i][0]).quantize(Decimal('0.0000')))) for i in range(len(y_ctr_old_o_temp))]
# #
#
#
def t_test(x,y): #进行t检验
......@@ -136,16 +136,16 @@ ctcrv_new_ttest=t_test(x_ctcrv_new,y_ctcrv_new)
ctcrv_old_ttest=t_test(x_ctcrv_old,y_ctcrv_old)
#
#
#新用户ctr假设检验
ctr_new_ttest=t_test(x_ctr_new,y_ctr_new)
#老用户ctr假设检验
ctr_old_ttest=t_test(x_ctr_old,y_ctr_old)
##新用户ctr(on_click_diary_card)假设检验
ctr_new_o_ttest=t_test(x_ctr_new_o,y_ctr_new_o)
#老用户ctr(on_click_diary_card)假设检验
ctr_old_o_ttest=t_test(x_ctr_old_o,y_ctr_old_o)
# #新用户ctr假设检验
# ctr_new_ttest=t_test(x_ctr_new,y_ctr_new)
# #老用户ctr假设检验
# ctr_old_ttest=t_test(x_ctr_old,y_ctr_old)
#
# ##新用户ctr(on_click_diary_card)假设检验
# ctr_new_o_ttest=t_test(x_ctr_new_o,y_ctr_new_o)
# #老用户ctr(on_click_diary_card)假设检验
# ctr_old_o_ttest=t_test(x_ctr_old_o,y_ctr_old_o)
# #
#
# ###############推荐策略不变的情况下数据假设检验##############
#
......
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