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| # -*- coding: utf-8 -*- | |
| """Untitled6.ipynb | |
| Automatically generated by Colaboratory. | |
| Original file is located at | |
| https://colab.research.google.com/github/kdemertzis/Earthquakes/blob/main/GRADIO-Classification_ROW_FORM_BARE.ipynb | |
| """ | |
| """ | |
| Import library | |
| """ | |
| ##-- PyCaret | |
| import pycaret | |
| from pycaret.classification import * | |
| ##-- Pandas | |
| import pandas as pd | |
| from pandas import Series, DataFrame | |
| ##-- Scikit-learn | |
| import sklearn | |
| from string import ascii_letters | |
| import numpy as np | |
| import seaborn as sns | |
| import matplotlib.pyplot as plt | |
| ##-- Gradio | |
| import gradio as gr | |
| import warnings | |
| warnings.simplefilter(action='ignore', category=FutureWarning) | |
| url = 'https://raw.githubusercontent.com/kdemertzis/Earthquakes/main/Data/Gradio/1_3class.csv' | |
| # load the dataset | |
| df = pd.read_csv(url) | |
| # setup the dataset | |
| grid = setup(data=df, target=df.columns[-1], html=False, silent=True, verbose=False) | |
| best = compare_models(cross_validation=True, n_select = 10, turbo=True) | |
| compare_model_results = pull() | |
| lightgbm = create_model('lightgbm') | |
| dashboard(lightgbm) |