View MSE.py3
#Print MSE to see how good the model is
error = mean_squared_error(TestData, Predictions)
print('Test Mean Squared Error (smaller the better fit): %.3f' % error)
View gist:77d5d1c781b019410a7174b3284a9818 (test_signup_new_account)
self = < object at 0x02D082B0>, path = ''
def _FTPHost_dir_command(self, path):
"""Callback function."""
lines = []
def callback(line):
"""Callback function."""
View netfx.vb.ref.cs
namespace Microsoft.VisualBasic
public enum AppWinStyle : short
Hide = (short)0,
MaximizedFocus = (short)3,
MinimizedFocus = (short)2,
MinimizedNoFocus = (short)6,
NormalFocus = (short)1,
NormalNoFocus = (short)4,
View reset_counts.txt
var whichOption = JSON.parse(request.body).which;
var option_string = `option${ whichOption }`;
// Validates user input on backend
if (whichOption !== 'A' &&
whichOption !== 'B' && whichOption !== 'C' &&
whichOption !== 'D') {
response.status = 400;
return response.send();
} else {
return kvstore.getCounter(option_string).then((count) => {
View index.html
<!DOCTYPE html>
<title>new cnto</title>
<body><div class="header">
<h1>My Website</h1>
<div class="navbar">
View google-ja-input-romantable.txt
- ー
~ ~
: ー
; っ
a あ
ba ば
bd べん
be べ
bh ぶう
bi び
View ARIMAFunction.py3
from statsmodels.tsa.arima_model import ARIMA
#Function that calls ARIMA model to fit and forecast the data
def StartARIMAForecasting(Actual, P, D, Q):
model = ARIMA(Actual, order=(P, D, Q))
model_fit =
prediction = model_fit.forecast()[0]
return prediction
View output_log.txt
This file has been truncated, but you can view the full file.
Log uploaded on Monday, July 23, 2018, 2:23:32 PM
Loaded mods:
Core: (no assemblies)
HugsLib[5.0.0]: 0Harmony(, HugsLib(
Tech Advancing: 0Harmony(, TechAdvancing(
Dubs Rimkit - v1 test: 0Harmony(, Dubs_Rimkit(
Dubs Bad Hygiene - v1 test: 0Harmony(, BadHygiene(
Charge Blaster 1.0: (no assemblies)
Engraved Walls [1.0]: 0Harmony(, EngravedWalls(
View index.html
<!DOCTYPE html>
<title>sighn up</title>
<div class="navbar">
<a href="">Home</a>
<a href="
<!DOCTYPE html>
<html lang="en">
<meta charset="UTF-8">