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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; |
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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 { | |
[Header("Leaderboard")] |
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{"Quest_Chain_1": { | |
"id": 1, | |
"Location": { | |
"id": 1, | |
"name": "main_window", | |
"building": "inn", | |
"quest_giver_npc":"old_man_001", | |
"long": 500, | |
"lat": 500 | |
}, |
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i | |
me | |
my | |
myself | |
we | |
our | |
ours | |
ourselves | |
you | |
your |
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<!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; |
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with open('diagram.py', 'w') as file: | |
data = "blah" | |
file.write(data) |
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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)) |
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import numpy as np | |
def sigmoid(x): | |
""" | |
Calculate sigmoid | |
""" | |
return 1 / (1 + np.exp(-x)) | |
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import numpy as np | |
def sigmoid(x): | |
""" | |
Calculate sigmoid | |
""" | |
return 1/(1+np.exp(-x)) | |
# Network size | |
N_input = 4 |
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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 |
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