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using System.Collections.Generic;
using UnityEngine;
using PlayFab;
using PlayFab.ClientModels;
using Newtonsoft.Json;
using UnityEngine.UI;
public class PlayfabManager : MonoBehaviour {
public InputField input;
using System.Collections.Generic;
using UnityEngine;
using PlayFab;
using PlayFab.ClientModels;
using Newtonsoft.Json;
using UnityEngine.UI;
public class PlayfabManager : MonoBehaviour {
[Header("Leaderboard")]
{"Quest_Chain_1": {
"id": 1,
"Location": {
"id": 1,
"name": "main_window",
"building": "inn",
"quest_giver_npc":"old_man_001",
"long": 500,
"lat": 500
},
i
me
my
myself
we
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ourselves
you
your
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Ace custom autocomplete test</title>
<script src="https://ajaxorg.github.io/ace-builds/src-min-noconflict/ace.js"></script>
<script src="https://ajaxorg.github.io/ace-builds/src-min-noconflict/ext-language_tools.js"></script>
<style>
body {
overflow: hidden;
@BlackFoxgamingstudio
BlackFoxgamingstudio / open_file.py
Created August 14, 2021 20:10
how to open file
with open('diagram.py', 'w') as file:
data = "blah"
file.write(data)
@BlackFoxgamingstudio
BlackFoxgamingstudio / backprop.py
Created July 13, 2020 04:16
Implementing backpropagation
import numpy as np
from data_prep import features, targets, features_test, targets_test
np.random.seed(21)
def sigmoid(x):
"""
Calculate sigmoid
"""
return 1 / (1 + np.exp(-x))
@BlackFoxgamingstudio
BlackFoxgamingstudio / backprop.py
Created July 13, 2020 03:40
Backpropagation exercise
import numpy as np
def sigmoid(x):
"""
Calculate sigmoid
"""
return 1 / (1 + np.exp(-x))
@BlackFoxgamingstudio
BlackFoxgamingstudio / Multilayer.py
Created July 13, 2020 03:36
Implementing the hidden layer
import numpy as np
def sigmoid(x):
"""
Calculate sigmoid
"""
return 1/(1+np.exp(-x))
# Network size
N_input = 4
@BlackFoxgamingstudio
BlackFoxgamingstudio / binary.csv
Last active July 13, 2020 03:24
Implementing gradient descent
admit gre gpa rank
0 380 3.61 3
1 660 3.67 3
1 800 4 1
1 640 3.19 4
0 520 2.93 4
1 760 3 2
1 560 2.98 1
0 400 3.08 2
1 540 3.39 3