Standardize features by removing the mean and scaling to unit variance.
class danfo.StandScaler
danfo.js provides the StandardScaler class for the standardization of DataFrame and Series. The standard score of a sample x is calculated as:
z = (x - u) / s
where u is the mean of the training samples or zero if with_mean=False, and s is the standard deviation of the training samples or one if with_std=False.
The API is similar to sklearn's StandardScaler, and provides a fit and transform method.
Examples
Standardize Series Object
const dfd = require("danfojs-node")
let scaler = new dfd.StandardScaler()
let sf = new dfd.Series([100,1000,2000, 3000])
sf.print()
scaler.fit(sf)
let sf_enc = scaler.transform(sf)
sf_enc.print()
