From af447e8f2a28cd775bb8bd345ee59dbd575beb47 Mon Sep 17 00:00:00 2001
From: duheng <2784771470@qq.com>
Date: 星期一, 13 五月 2024 09:14:56 +0800
Subject: [PATCH] 提交临时代码
---
WaterPredict/IStation.ChEr.Application.WaterPredict/02-predict/SSAPredictHelper.cs | 37 ++++++++++++++++---------------------
1 files changed, 16 insertions(+), 21 deletions(-)
diff --git a/WaterPredict/IStation.ChEr.Application.WaterPredict/02-predict/SSAPredictHelper.cs b/WaterPredict/IStation.ChEr.Application.WaterPredict/02-predict/SSAPredictHelper.cs
index fdae08e..ecf7a5f 100644
--- a/WaterPredict/IStation.ChEr.Application.WaterPredict/02-predict/SSAPredictHelper.cs
+++ b/WaterPredict/IStation.ChEr.Application.WaterPredict/02-predict/SSAPredictHelper.cs
@@ -1,5 +1,6 @@
-锘縰sing Microsoft.ML;
-using Microsoft.ML.Transforms.TimeSeries;
+锘縰sing IStation.ChEr.Application;
+using Microsoft.ML;
+using Microsoft.ML.Transforms.TimeSeries;
namespace IStation.Service
{
@@ -28,7 +29,6 @@
/// </summary>
public class SSAInput
{
-
/// <summary>
/// 鏃堕棿
/// </summary>
@@ -46,17 +46,17 @@
public class SSAOutput
{
/// <summary>
- ///
+ ///
/// </summary>
public float[] Predict { get; set; }
/// <summary>
- ///
+ ///
/// </summary>
public float[] Lower { get; set; }
/// <summary>
- ///
+ ///
/// </summary>
public float[] Upper { get; set; }
}
@@ -71,7 +71,7 @@
/// <param name="confidence_level">涓婁笅闄愮殑鍙俊搴�</param>
/// <param name="fulture">棰勬祴鏉℃暟</param>
/// <returns></returns>
- public List<TotalOneDay> Predict(List<Tuple<DateTime, double>> data, int time_step, int win_size, int series_length, float confidence_level, int fulture)
+ public List<SSAData> Predict(List<Tuple<DateTime, double>> data, int time_step, int win_size, int series_length, float confidence_level, int fulture)
{
#region 鍩虹楠岃瘉
@@ -104,7 +104,7 @@
return null;
}
- #endregion
+ #endregion 鍩虹楠岃瘉
var sampleData = data.Select(x => new SSAInput() { Time = x.Item1, Value = (float)x.Item2 }).ToList();//鏍锋湰鏁版嵁
var mlContext = new MLContext();//鍒涘缓
@@ -132,10 +132,10 @@
//鏋勯�犻娴嬭褰�
var beginTime = sampleData.Last().Time;
- var vmList = new List<TotalOneDay>();
+ var vmList = new List<SSAData>();
for (int i = 0; i < forecast.Predict.Length; i++)
{
- var vm = new TotalOneDay()
+ var vm = new SSAData()
{
DateTime = beginTime.AddSeconds((i + 1) * time_step),
Total = forecast.Predict[i]
@@ -144,17 +144,12 @@
}
return vmList;
-
-
}
-
-/* public class TotalOneDay
- {
- public DateTime DateTime { get; set; }
- public double Total { get; set; }
- }*/
-
-
+ /* public class TotalOneDay
+ {
+ public DateTime DateTime { get; set; }
+ public double Total { get; set; }
+ }*/
}
-}
+}
\ No newline at end of file
--
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