PINE LIBRARY
已更新 Feature Scaling

Library "Feature_Scaling"
FS: This library helps you scale your data to certain ranges or standarize, normalize, unit scale or min-max scale your data in your prefered way. Mostly used for normalization purposes.
minmaxscale(source, min, max, length)
minmaxscale: Min-max normalization scales your data to set minimum and maximum range
Parameters:
source
min
max
length
Returns: res: Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale: Mean normalization of your data
Parameters:
source
length
Returns: res: Mean normalization result of the source
standarize(source, length, biased)
standarize: Standarization of your data
Parameters:
source
length
biased
Returns: res: Standarized data
unitlength(source, length)
unitlength: Scales your data into overall unit length
Parameters:
source
length
Returns: res: Your data scaled to the unit length
FS: This library helps you scale your data to certain ranges or standarize, normalize, unit scale or min-max scale your data in your prefered way. Mostly used for normalization purposes.
minmaxscale(source, min, max, length)
minmaxscale: Min-max normalization scales your data to set minimum and maximum range
Parameters:
source
min
max
length
Returns: res: Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale: Mean normalization of your data
Parameters:
source
length
Returns: res: Mean normalization result of the source
standarize(source, length, biased)
standarize: Standarization of your data
Parameters:
source
length
biased
Returns: res: Standarized data
unitlength(source, length)
unitlength: Scales your data into overall unit length
Parameters:
source
length
Returns: res: Your data scaled to the unit length
版本注释
v2Updated: Fixed Descriptions
minmaxscale(source, min, max, length)
minmaxscale Min-max normalization scales your data to set minimum and maximum range
Parameters:
source: Source data you want to use
min: Minimum value you want
max: Maximum value you want
length: Length of the data you want taken into account
Returns: res Data scaled to the set minimum and maximum range
meanscale(source, length)
meanscale Mean normalization of your data
Parameters:
source: Source data you want to use
length: Length of the data you want taken into account
Returns: res Mean normalization result of the source
standarize(source, length, biased)
standarize Standarization of your data
Parameters:
source: Source data you want to use
length: Length of the data you want taken into account
biased: Whether to do biased calculation while taking standard deviation, default is true
Returns: res Standarized data
unitlength(source, length)
unitlength Scales your data into overall unit length
Parameters:
source: Source data you want to use
length: Length of the data you want taken into account
Returns: res Your data scaled to the unit length
Pine脚本库
本着真正的TradingView精神,作者将此Pine代码发布为开源库,以便我们社区的其他Pine程序员可以重复使用它。向作者致敬!您可以私密或在其他开源出版物中使用此库,但在出版物中重复使用此代码受网站规则约束。
One does not simply win every trade.
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。
Pine脚本库
本着真正的TradingView精神,作者将此Pine代码发布为开源库,以便我们社区的其他Pine程序员可以重复使用它。向作者致敬!您可以私密或在其他开源出版物中使用此库,但在出版物中重复使用此代码受网站规则约束。
One does not simply win every trade.
免责声明
这些信息和出版物并不意味着也不构成TradingView提供或认可的金融、投资、交易或其它类型的建议或背书。请在使用条款阅读更多信息。