From 54506df99e0318f1c8ac317f0289a7ac92c366e5 Mon Sep 17 00:00:00 2001 From: jingboyitiji Date: Tue, 1 Apr 2025 16:23:42 +0800 Subject: [PATCH] =?UTF-8?q?=E5=85=88=E5=8E=BB=E6=8E=89=E6=8A=A5=E5=91=8A?= =?UTF-8?q?=E4=B8=AD=E7=AC=AC=E4=BA=8C=E4=B8=AA=E5=9B=BE?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- models/nerulforcastmodels.py | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/models/nerulforcastmodels.py b/models/nerulforcastmodels.py index 79b75d3..b7d75ad 100644 --- a/models/nerulforcastmodels.py +++ b/models/nerulforcastmodels.py @@ -1404,7 +1404,7 @@ def model_losss(sqlitedb, end_time): plt.close() _plt_predict_ture(df_combined3) - _plt_modeltopten_predict_ture(df_combined4) + # _plt_modeltopten_predict_ture(df_combined4) _plt_predict_table(df_combined3) _plt_model_results3() @@ -2246,12 +2246,12 @@ def brent_export_pdf(num_indicators=475, num_models=21, num_dayindicator=202, in content.append(Graphs.draw_text( ' 确定置信区间：设置残差置信阈值，以每周最佳模型为基准，选取在置信区间的预测值作为置信区间;')) - # 添加历史走势及预测价格的走势图片 - content.append(Graphs.draw_img( - os.path.join(config.dataset, '历史价格-预测值1.png'))) - content.append(Graphs.draw_text('图示说明：')) - content.append(Graphs.draw_text( - ' 确定置信区间：使用模型评估指标MAE得到前十个模型，取平均值上下1.5作为价格波动置信区间;')) + # # 添加历史走势及预测价格的走势图片 + # content.append(Graphs.draw_img( + # os.path.join(config.dataset, '历史价格-预测值1.png'))) + # content.append(Graphs.draw_text('图示说明：')) + # content.append(Graphs.draw_text( + # ' 确定置信区间：使用模型评估指标MAE得到前十个模型，取平均值上下1.5作为价格波动置信区间;')) # 取df中y列为空的行 import pandas as pd