alivcor

class GroovyIncrementalVersioning {

/*
 * Created by @alivcor (Abhinandan Dubey) on 10/26/20
 * Licensed under the Mozilla Public License Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 *
 * Unless required by applicable law or agreed to in writing, software

alivcor

    public class Car {
        private int modelYear;
        private String modelName;
        private String color;
        private String manufacturer;
        private double sellingPrice;
        private String carType;
        private Boolean isLuxury;
        private Boolean isImported;

alivcor

print("00000010101010000000000\n00101000001010000000100\n10001000100010010110010\n10101010101010100100100\n00000000000000000000000\n00000000000011000000000\n00000000001101000000000\n00000000001101000000000\n00000000010101000000000\n00000000011111000000000\n00000000000000000000000\n11000011100011000011000\n10000000000000110010000\n11010001100011000011010\n11111011111011111011111\n00000000000000000000000\n00010000000000000000010\n00000000000000000000000\n00001000000000000000001\n11111000000000000011111\n00000000000000000000000\n11000011000011100011000\n10000000100000000010000\n11010000110001110011010\n11111011111011111011111\n00000000000000000000000\n00010000001100000000010\n00000000001100000000000\n00001000001100000000001\n11111000001100000011111\n00000000001100000000000\n00100000000100000000100\n00010000001100000001000\n00001100001100000010000\n00000011000100001100000\n00000000001100110000000\n00000011000100001100000\n00001100001100000010000\n00010000001000000001000\n00100000001100000000100\n01000000001100000

alivcor

#include <iostream>
#include "vector"
#include "string"
using namespace std;


void printIntVector(vector<int>& nums){
    string s;
    for(auto it = nums.begin();it!=nums.end(); ++it){
        s.append(to_string(*it));

alivcor

import numpy as np
import random


def randPartition(alldata_X, alldata_Y, _FRACTION):
    """
    alldata_X : All of your X (Features) data
    alldata_Y : All of your Y (Prediction) data
    _FRACTION : The fraction of data rows you want for train (0.75 means you need 75% of your data as train and 25% as test)
    """

alivcor

#Bonus: If you want to handle events on keypress:
#http://matplotlib.org/examples/event_handling/keypress_demo.html
#Inspired by cnn_train in MatConvNet ?? :p (Please ignore if you do not understand - you're not supposed to !)

import math
import matplotlib.pyplot as plt
import numpy as np


# +

alivcor

import tensorflow as tf

#If you're frustrated with tensorflow, and just want to do a simple task of creating a tensor type list and append to it, you're at the right place. The author of this gist was in the same place at the time of writing this gist. And stackoverflow sucks. TF documentation is outdated, help is limited. Have fun !

sess = tf.InteractiveSession()

matrix1 = tf.constant([[1., 2., 3., 4., 5., 6.], [3., 1., 2., 2., 0., 1.]])
matrix2 = tf.constant([[2., 0., 1., 9., 3., 2.5], [1.8, 2.5, 9.4, 1., 0.3, 3.1]])

#lets make a 6x6 matrix by append

alivcor

import tensorflow as tf

sess = tf.InteractiveSession()

matrix1 = tf.constant([[1., 2., 3., 4., 5., 6.], [3., 1., 2., 2., 0., 1.]])
matrix2 = tf.constant([[2., 0., 1., 9., 3., 2.5], [1.8, 2.5, 9.4, 1., 0.3, 3.1]])

#lets make a 6x6 matrix by append
A = tf.concat([matrix2], 0) #Now A is a 2 x 6 tensor
A = tf.concat([A, matrix1], 0) #Now A is a 4 x 6 tensor

alivcor

     
var sampleSVG = d3.select("#bubbles")
    .append("svg")
    .attr("width", 960)
    .attr("height", 960);
var mydata = [];      
d3.csv("/baseball_data.csv", function(data) {
    data.forEach(function(d) {
        d["HR"] = +d["HR"];
        mydata.push(+d["HR"]);

alivcor

   var sampleSVG = d3.select("#viz")
        .append("svg")
        .attr("width", 800)
        .attr("height", 800);    
    
    var barrier = sampleSVG.append("line")
        .attr("x1", 120)
        .attr("y1", 540)
        .attr("x2", 280)
        .attr("y2", 540)