M4TTRX

from lyricsgenius import Genius
import pandas as pd
import numpy as np
from progress.bar import Bar


def check_song(song):
    # empty songs should be ignored
    if song is None:
        return False

M4TTRX

"""
Author: Matthieu Roux 
Date of creation: February 2019 
Python Version: 3.6.8 on Windows 10 64 bit

Description: Creates a 3 layer neural network (one input, one hidden and one output), 
that can be trained using backpropagation. 
The program can also evaluate its accuracy, precision and import/save trained weights.
All files must come from .csv (MS-DOS) files and must have been pre-processed and normalized

M4TTRX

import csv

# This class helps organising perceptrons, it holds weights and its training data
class perceptron:
    def __init__(self, weights, training_data):
        self.weights = weights
        self.data = training_data

    # saves the weights in a csv file after training
    def save_weights(self,filename):

M4TTRX

# Attempts to solve the following problem https://leetcode.com/problems/trapping-rain-water/
def trap(self, height):
    water_volume = 0
    while sum(height) > 0:
        left_index = None
        for right_index in range(len(height)):
            if height[right_index] > 0:
                if left_index != None:
                    water_volume += right_index - left_index - 1
                height[right_index] -= 1

M4TTRX

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• I am m4ttrx on github.
• I am matthieuroux (https://keybase.io/matthieuroux) on keybase.
• I have a public key ASAXb8GvaZGtlReiRopzUOfsuHfnsm9zfLak8znqEorGUQo

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