kdemertzis/expl

1# -*- coding: utf-8 -*-2"""Untitled6.ipynb3 4Automatically generated by Colaboratory.5 6Original file is located at7    https://colab.research.google.com/github/kdemertzis/Earthquakes/blob/main/GRADIO-Classification_ROW_FORM_BARE.ipynb8"""9 10"""11    Import library12"""13##-- PyCaret14import pycaret15from pycaret.classification import *16##-- Pandas17import pandas as pd18from pandas import Series, DataFrame19##-- Scikit-learn20import sklearn21from string import ascii_letters22import numpy as np23import seaborn as sns24import matplotlib.pyplot as plt25##-- Gradio26import gradio as gr27import warnings28warnings.simplefilter(action='ignore', category=FutureWarning)29 30url = 'https://raw.githubusercontent.com/kdemertzis/Earthquakes/main/Data/Gradio/1_3class.csv'31# load the dataset32df = pd.read_csv(url)33 34# setup the dataset35grid = setup(data=df, target=df.columns[-1], html=False, silent=True, verbose=False)36 37best = compare_models(cross_validation=True, n_select = 10, turbo=True) 38compare_model_results = pull()39 40lightgbm = create_model('lightgbm')41 42dashboard(lightgbm)