PINE LIBRARY
Feature Scaling
Actualizado
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
Notas de prensa
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
Biblioteca Pine
Siguiendo fielmente el espíritu TradingView, el autor ha publicado este código Pine como una biblioteca de código abierto, permitiendo que otros programadores de Pine en nuestra comunidad lo utilicen de nuevo. ¡Olé por el autor! Puede utilizar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero tenga en cuenta que la reutilización de este código en una publicación se rige por las Normas internas.
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Exención de responsabilidad
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