Python PyCaret Create your own AutoML software














































Python PyCaret Create your own AutoML software



 

Putting it all together :

Create your own AutoML software

 
Using all the functions, let%u2019s create a simple command line software that will train multiple models with default parameters, tune hyperparameters of top candidate models, try different ensembling techniques and returns / saves the best model. Here is the command line script:

# import libraries
import pandas as pd
import sys
# define command line parameters
data = sys.argv[1]
target = sys.argv[2]
# load data (replace this part with your own script)
from pycaret.datasets import get_data
input_data = get_data(data)
# init setup
from pycaret.classification import *
clf1 = setup(data = input_data, target = target, log_experiment = True)
# compare baseline models and select top5
top5 = compare_models(n_select = 5)
# tune top5 models
tuned_top5 = [tune_model(i) for i in top5]
# ensemble top5 tuned models
bagged_tuned_top5 = [ensemble_model(i, method = 'Bagging') for i in tuned_top5]
# blend top5 models
blender = blend_models(estimator_list = top5)
# stack top5 models
stacker = stack_models(estimator_list = top5[1:], meta_model = top5[0])
# select best model based on recall
best_model = automl(optimize = 'Recall')
# save model
save_model(best_model, 'c:/path-to-directory/final-model')
view raw

This script will dynamically select and saves the best model. In just few lines of code you have developed your own Auto ML software with a full fledged logging system and even a UI presenting beautiful leaderboard.
There is no limit to what you can achieve using the light weight workflow automation library in Python.


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