def generate_report(self):
""" Generate a report as PDF file
"""
# Option
pdf = FPDF()
pdf.add_page()
pdf.set_xy(20, 5)
pdf.set_title("Naive-Bayes")
pdf.accept_page_break()
# Title
pdf.set_font('arial', 'B', 25)
pdf.cell(0, 30, 'Naive-Bayes', border=0, ln=2, align='C')
# Info
pdf.cell(15)
pdf.set_font('arial', 'I', 14)
pdf.cell(30, 2, 'Accuracy : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 14)
pdf.cell(50, 2, f'{self.acc}', border=0, ln=2, align='L')
# Plot Report
pdf.cell(10)
pdf.image(self.cfg['plot_path'] + "naive-bayes-report.png",
x=30,
y=40,
w=150,
h=100,
type='',
link='')
# Chapter
pdf.set_y(140)
pdf.cell(10)
pdf.set_font('arial', 'B', 18)
pdf.cell(0, 20, 'Confusion Matrix', border=0, ln=2, align='L')
# Plot Confusion Matrix
pdf.cell(0)
pdf.image(self.cfg['plot_path'] + "naive-bayes-confusion-matrix.png",
x=20,
y=160,
w=100,
h=75,
type='',
link='')
pdf.cell(10)
pdf.image(self.cfg['plot_path'] +
"naive-bayes-confusion-matrix-normalize.png",
x=100,
y=160,
w=100,
h=75,
type='',
link='')
# Info -> Precision/Recall/F1
pdf.set_y(235)
pdf.cell(15)
pdf.set_font('arial', 'B', 12)
pdf.cell(30, 7, f'{self.classes[1]} : ', border=0, ln=0, align='L')
pdf.cell(50)
pdf.cell(30, 7, f'{self.classes[0]} : ', border=0, ln=1, align='L')
pdf.cell(20)
pdf.set_font('arial', 'I', 12)
pdf.cell(22, 7, f'Precision : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 12)
pdf.cell(60, 7, f'{self.lp}', border=0, ln=0, align='L')
pdf.set_font('arial', 'I', 12)
pdf.cell(22, 7, f'Precision : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 12)
pdf.cell(60, 7, f'{self.wp}', border=0, ln=1, align='L')
pdf.cell(20)
pdf.set_font('arial', 'I', 12)
pdf.cell(22, 7, f'Recall : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 12)
pdf.cell(60, 7, f'{self.lr}', border=0, ln=0, align='L')
pdf.set_font('arial', 'I', 12)
pdf.cell(22, 7, f'Recall : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 12)
pdf.cell(60, 7, f'{self.wr}', border=0, ln=1, align='L')
pdf.cell(20)
pdf.set_font('arial', 'I', 12)
pdf.cell(22, 7, f'F1 : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 12)
pdf.cell(60, 7, f'{self.lf1}', border=0, ln=0, align='L')
pdf.set_font('arial', 'I', 12)
pdf.cell(22, 7, f'F1 : ', border=0, ln=0, align='L')
pdf.set_font('arial', '', 12)
pdf.cell(60, 7, f'{self.wf1}', border=0, ln=1, align='L')
pdf.add_page()
pdf.set_font('arial', 'B', 18)
pdf.cell(10)
pdf.cell(0, 20, 'Decision Boundary', border=0, ln=2, align='L')
pdf.image(self.cfg['plot_path'] + "naive-bayes-decision-boundary.png",
x=20,
y=30,
w=180,
h=120,
type='',
link='')
pdf.output(self.cfg['info_path'] + 'naive-bayes-report.pdf', 'F')
from fpdf import FPDF
# save FPDF() class into
# a variable pdf
pdf = FPDF()
# Add a page
pdf.add_page()
pdf.accept_page_break()
# set style and size of font
# that you want in the pdf
pdf.set_font("Arial", size=10)
# open the text file in read mode
f = open("fourier_transform_log.txt", "r")
# insert the texts in pdf
line_count = 1
w_img = 150
h_img = 100
h_line = 5
h_text = 10
line_inc = 1
for x in f:
if 'save plot' in x:
