Question

我正在创建一个机器学习模型，我想从文本文件中读取不同的值并使用CustomMapping处理它们。运行System.InvalidOperationException时，程序将抛出CustomMapping。

我已经将原因缩小到CustomMapping函数中，正在读取的文本文件没有任何空值。我已经仔细检查了所有变量声明，并确保它们都使用正确的类型。我的直觉是，自定义映射将1和0解释为布尔值，而不是浮点数，尽管我认为没有必要这样做。

道歉，但问题是关于类型问题，所以我认为展示所有内容很重要。

我的管道：

var pipeline = context.Transforms.CustomMapping<ProfileInput, ProfileProcess>(ProfileMapping.Transform, nameof(ProfileMapping))
.Append(context.Transforms.Concatenate("Features", "isBanned", "profileVisibility", "profileConfigured", "lastLogOff", "commentPermission", "timeCreated", "friendCount", "gameBannedFriendsCount", "vacBannedFriendsCount", "gameBannedFriendsPercent", "vacBannedFriendsPercent"));

我的CustomMapping：

public static void Transform(ProfileInput input, ProfileProcess output)
{
  if (input.numberGameBans > 0 || input.numberVacBans > 0)
    output.isBanned = false;

  output.gameBannedFriendsPercent = input.gameBannedFriendsCount / input.friendCount;
  output.vacBannedFriendsPercent = input.vacBannedFriendsCount / input.friendCount;
  output.profileVisibility = input.profileVisibility;
  output.profileConfigured = input.profileConfigured;
  output.lastLogOff = input.lastLogOff;
  output.commentPermission =  input.commentPermission;
  output.timeCreated = input.timeCreated;
  output.friendCount = input.friendCount;
  output.gameBannedFriendsCount = input.gameBannedFriendsCount;
  output.vacBannedFriendsCount = input.vacBannedFriendsCount;
}

ProfileInput：

public class ProfileInput
{
  [LoadColumn(0)]
  public bool commentPermission;
  [LoadColumn(1)]
  public float lastLogOff;
  [LoadColumn(2)]
  public bool profileConfigured;
  [LoadColumn(3)]
  public float profileVisibility;
  [LoadColumn(4)]
  public float timeCreated;
  [LoadColumn(5)]
  public float numberVacBans;
  [LoadColumn(6)]
  public float numberGameBans;
  [LoadColumn(7)]
  public float vacBannedFriendsCount;
  [LoadColumn(8)]
  public float gameBannedFriendsCount;
  [LoadColumn(9)]
  public float friendCount;
}

ProfileProcess：

public class ProfileProcess
{
  public bool isBanned;
  public float profileVisibility;
  public bool profileConfigured;
  public float lastLogOff;
  public bool commentPermission;
  public float timeCreated;
  public float friendCount;
  public float gameBannedFriendsCount;
  public float vacBannedFriendsCount;
  public float gameBannedFriendsPercent;
  public float vacBannedFriendsPercent;
}

运行pipeline.fit()时出现以下异常：

System.InvalidOperationException：'列'profileVisibility'具有 R4的值与先前观察到的Bool类型不同。'

我希望它能够成功完成代码而不会引发错误，实际输出将是TransformerChain模型-我知道管道还没有训练器，因此该模型将一无是处现在。

Answer 1

context.Transforms.Concatenate串联相同类型的列。该类型由第一个输入列定义，在您的情况下为“ isBanned”。由于那是布尔值，因此Concatenate期望下一个值也是布尔值。

如果要将列连接在一起，而无需对其进行任何其他预处理，则可以将它们直接加载为浮点数（0/1），而不是布尔值。

Answer 2

您需要做的就是OneHotEncode您的非浮动列

.Append(context.Transforms.Categorical.OneHotEncoding(outputColumnName: "isBannedEncoded", inputColumnName: "isBanned"))
.Append(context.Transforms.Categorical.OneHotEncoding(outputColumnName: "profileConfiguredEncoded", inputColumnName: "profileConfigured"))
.Append(context.Transforms.Categorical.OneHotEncoding(outputColumnName: "commentPermissionEncoded", inputColumnName: "commentPermission"))

.Append(context.Transforms.Concatenate("Features", "isBannedEncoded", "profileVisibility", "profileConfiguredEncoded", "lastLogOff", "commentPermissionEncoded", "timeCreated", "friendCount", "gameBannedFriendsCount", "vacBannedFriendsCount", "gameBannedFriendsPercent", "vacBannedFriendsPercent"));

希望有帮助

如何解决“列的类型值与先前观察到的类型不同”

2 个答案: