This simple Auto Machine learning BlackBox

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1. automate normalize data
2. automate dimension reduction
3. automate model create
4. automate find best paramters for your data

How to use it?

import model
model.find(X,y)

what is parameter?

# all parametrs
model.find(X, Y, test_size= .2, preprocessing_type= 0, dimension_reduction_type= 0, models_type= 0, verbose= 1, normalize_validation_data= False,  random_state= 42)

• X -- input features
• Y -- output lables
• split_type -- how data splite between train and test
• preprocessing_type -- kind of nomalizer, 0 = without any processing, 1 = full
• dimension_reduction_type -- kind of dimension reduction, 0 = without any dimension reduction, 1 = full dimension reduction
• models_type -- model types, 0 = simple models , 1 = full models
• verbose --to print process , verbose = 1 print per model else not print result per model