Add columns on database

I got more database samples by adding padding and stride columns and putting various input shape.

Initial version of regression model

In this week, I tried to make simple regression model using scikit-learn library in python.

# data preprocessing
import os
import re
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

file_path = "./result3.csv"
df = pd.read_csv(file_path)

tmp = df['input_shape'].str.replace('(', '').str.replace(')', '').str.split(',')

df['input_channel'] = tmp.str.get(0)
df['input_hw'] = tmp.str.get(1)
df['padding'] = np.where(df['padding'] == 'same', 1, 0)

Code ofr Simple Linear Regression model

R2(R-squared) score is 0.24032520601123475….

To Check List

• start github repo
  • https://github.com/jiyeoon/GSOC_proj
  • It’s a little bit messy
• EDA
• Data Preprocessing
  • Normalize or …
• Metric
  • R2 score is good enough?
• Regression model
  • There are various kinds of regression models like decision tree regressor, linear regressor, random-forest regressor…