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public class Bean { | |
private String field; | |
public String getField() { | |
return field; | |
} | |
public synchronized void setField(String field) { | |
this.field = field; | |
} |
We can make this file beautiful and searchable if this error is corrected: No commas found in this CSV file in line 0.
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# 1. Class 1/2/3 | |
# 2. Alcohol | |
# 3. Malic acid | |
# 4. Ash | |
# 5. Alcalinity of ash | |
# 6. Magnesium | |
# 7. Total phenols | |
# 8. Flavanoids | |
# 9. Nonflavanoid phenols | |
# 10. Proanthocyanins |
We can make this file beautiful and searchable if this error is corrected: It looks like row 10 should actually have 1 column, instead of 9 in line 9.
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# 1. Number of times pregnant | |
# 2. Plasma glucose concentration a 2 hours in an oral glucose tolerance test | |
# 3. Diastolic blood pressure (mm Hg) | |
# 4. Triceps skin fold thickness (mm) | |
# 5. 2-Hour serum insulin (mu U/ml) | |
# 6. Body mass index (weight in kg/(height in m)^2) | |
# 7. Diabetes pedigree function | |
# 8. Age (years) | |
# 9. Class variable (0 or 1) | |
6,148,72,35,0,33.6,0.627,50,1 |
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bone_length | rotting_flesh | hair_length | has_soul | color | type | |
---|---|---|---|---|---|---|
0.3545121845821541 | 0.35083902671065004 | 0.4657608918291205 | 0.78114166586219 | clear | Ghoul | |
0.5755599050254655 | 0.42586843221058457 | 0.5314013787091408 | 0.43989887703728897 | green | Goblin | |
0.467875498742323 | 0.3543304203917748 | 0.8116160896689244 | 0.7912249733377691 | black | Ghoul | |
0.7766524606554741 | 0.5087225499432287 | 0.6367655799597881 | 0.8844636920976973 | black | Ghoul | |
0.56611660205779 | 0.8758617955062562 | 0.4185936708748797 | 0.6364378187279373 | green | Ghost | |
0.40567974489188297 | 0.253277496666039 | 0.4414196710726873 | 0.2803238199213896 | green | Goblin | |
0.39933085086043796 | 0.5689517671030597 | 0.6183910202674578 | 0.4679008345210921 | white | Goblin | |
0.5162238981116547 | 0.5364287456984622 | 0.6127761465851604 | 0.4680482696484728 | clear | Ghoul | |
0.31429527592019163 | 0.6712796900808566 | 0.4172669166262837 | 0.2275475750972251 | blue | Ghost |
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import numpy | |
from PIL import Image | |
def scale_to_unit_interval(ndar, eps=1e-8): | |
ndar = ndar.copy() | |
ndar -= ndar.min() | |
ndar *= 1.0 / (ndar.max() + eps) | |
return ndar |
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from matplotlib.mlab import find | |
import numpy as np | |
import matplotlib.pyplot as pl | |
def visualize(clf, X, y): | |
border = .5 | |
h = .02 | |
x_min, x_max = X[:, 0].min() - border, X[:, 0].max() + border | |
y_min, y_max = X[:, 1].min() - border, X[:, 1].max() + border |