how to get scaler when i use my own datasets ? such as xxx.bin

[tiankong-hut]

how to get scaler when i use my own datasets ? such as xxx.bin

[Metalkiler]

how to get scaler when i use my own datasets ? such as xxx.bin

Generally the scaler like minhas from sklearn offers a model that scales (fit and such) you can use that model to get the features I believe
Check sklearn documentation's

[Metalkiler]

One example
from sklearn.datasets import make_blobs
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from pickle import dump

X, y = make_blobs(n_samples=100, centers=2, n_features=2, random_state=1)

split data into train and test sets

X_train, _, y_train, _ = train_test_split(X, y, test_size=0.33, random_state=1)

define scaler

scaler = MinMaxScaler()

fit scaler on the training dataset

scaler.fit(X_train)

transform the training dataset

X_train_scaled = scaler.transform(X_train)

#save scaler!
dump(scaler, open('scaler.pkl', 'wb'))