Proteusiq

from sklearn.base import BaseEstimator, ClassifierMixin

class HurdleRegression(BaseEstimator, ClassifierMixin):  
    '''Regression classifier that deals with large amount of zeros
     
      Finds the probabilites of zeros and multiply with predicted regression'''

    def __init__(self, cls_model, reg_model, cls_params=None, reg_params=None):
        '''
        Called when initializing the classifier

Proteusiq

from functools import singledispatch


@singledispatch
def tasks(arg, verbose=False):
	if verbose:
		print(f'{arg} pong! Title it is.')
	return arg.title()
	
@tasks.register(int)

Proteusiq

import random
from PIL import Image
import requests


import images

listofimages = [item for key, item in images.images.items()]

Proteusiq

# Update and Upgrade
sudo apt update && sudo apt upgrade --yes

# Get Miniconda and make it the main Python interpreter
wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda.sh
bash ~/miniconda.sh -b -p ~/miniconda

# Remove the script
rm ~/miniconda.sh

Proteusiq

from datetime import datetime
import json
import hashlib
import uuid

from itsdangerous import URLSafeSerializer

class Block:
	'''Basic Block Chain
	

Proteusiq

import numpy as np
import matplotlib.pyplot as plt


plt.style.use('ggplot')

def get_yhats(weight,bias, predictors):
	return  bias + weight*predictors

def mse(predicted_values,actual_values):

Proteusiq

###################################################
# conda create -n opencnn python=3.7 tensorflow   #
# conda activate opencnn                          #
# pip install opencv-python mtcnn                 #
###################################################

import logging
import os

import cv2

Proteusiq

# simple script to get lats and lngs from address
# auth.py contains a variable GOOGLEMAPKEY with 
# Googlemap API key(auth.py must be gitignored as 
# it plays the role of os.environ)

import requests
import auth

s  = requests.Session()

Proteusiq

def binet(n):
	''' Binet's Formula
	Deduce the nth Fibonacci number, without calculating the preceding numbers.
	'''
	
	PHI = (1 + 5**0.5)/2
	
	return  int(round((PHI**n - (1-PHI)**n) / 5**0.5))
	

Proteusiq

# Advance Python:  Tips and Tricks
# Author: Prayson W. Daniel (github.com/proteusiq)
# Objective: We want functions to be activate/executed when we experience change in X
# Note: we can run functions in threads or asynchronic to avoid blocking (if that's wanted behavior)


from events import Events