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window.PATH = "{{ client_path }}"; | |
$(document).ready(function () { | |
function loadStyle(src) { | |
var s = document.createElement("link"); | |
s.rel = "stylesheet"; | |
s.src = src; | |
// Use any selector | |
$("head").append(s); | |
} |
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import itertools | |
import random | |
import numpy as np | |
class Game: | |
def __init__(self): | |
""" | |
0 - casilla vacia |
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import itertools | |
import random | |
import numpy as np | |
from loguru import logger | |
def my_filter(record): | |
if "warn_only" in record["extra"]: | |
return record["level"].no >= logger.level("WARNING").no |
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import random | |
import gym | |
import numpy as np | |
from collections import deque | |
from keras.models import Sequential | |
from keras.layers import Dense | |
from keras.optimizers import Adam | |
from keras.models import load_model | |
# from scores.score_logger import ScoreLogger |
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Variance | Skewness | Curtosis | Entropy | Class | |
---|---|---|---|---|---|
3.6216 | 8.6661 | -2.8073 | -0.44699 | 0 | |
4.5459 | 8.1674 | -2.4586 | -1.4621 | 0 | |
3.866 | -2.6383 | 1.9242 | 0.10645 | 0 | |
3.4566 | 9.5228 | -4.0112 | -3.5944 | 0 | |
0.32924 | -4.4552 | 4.5718 | -0.9888 | 0 | |
4.3684 | 9.6718 | -3.9606 | -3.1625 | 0 | |
3.5912 | 3.0129 | 0.72888 | 0.56421 | 0 | |
2.0922 | -6.81 | 8.4636 | -0.60216 | 0 | |
3.2032 | 5.7588 | -0.75345 | -0.61251 | 0 |
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PRICE | MAINT | DOORS | PERSONS | SAFETY | CLASS | |
---|---|---|---|---|---|---|
40000 | 2000 | 2 | 2 | low | unacc | |
40000 | 2000 | 2 | 2 | med | unacc | |
40000 | 2000 | 2 | 2 | high | unacc | |
40000 | 2000 | 2 | 2 | low | unacc | |
40000 | 2000 | 2 | 2 | med | unacc | |
40000 | 2000 | 2 | 2 | high | unacc | |
40000 | 2000 | 2 | 2 | low | unacc | |
40000 | 2000 | 2 | 2 | med | unacc | |
40000 | 2000 | 2 | 2 | high | unacc |
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import time | |
import keras | |
import matplotlib.pyplot as plt | |
import numpy as np | |
from keras.layers import Dense, Activation | |
from keras.models import Sequential | |
x = np.arange(-100, 100, 0.5) | |
y = x ** 2 |
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#%% | |
import pandas as pd | |
import numpy as np | |
from matplotlib import pyplot as plt | |
from scipy.cluster.hierarchy import dendrogram, linkage | |
from sklearn import datasets | |
import seaborn as sns | |
%matplotlib inline | |
sns.set(style="darkgrid") | |
#%% |
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<?xml version="1.0" encoding="UTF-8"?> | |
<customUI xmlns="http://schemas.microsoft.com/office/2009/07/customui" onLoad="Ribbon_Load"> | |
<ribbon> | |
<tabs> | |
<tab idMso="TabAddIns" label="Docxmerge"> | |
<group id="ContentGroup" label="Template actions"> | |
<button id="textButton" label="Upload" | |
screentip="Text" onAction="OnTextButton" |
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blazor.webassembly.js:1 WASM: [System.DllNotFoundException] MonoPosixHelper | |
d.printErr @ blazor.webassembly.js:1 | |
put_char @ mono.js:1 | |
write @ mono.js:1 | |
write @ mono.js:1 | |
___syscall4 @ mono.js:1 | |
wasm-function[433] | |
wasm-function[4312] | |
wasm-function[2449] | |
wasm-function[2446] |