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update
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03f8fac400
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4fe3b29cda
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compare.sh
32
compare.sh
@ -10,19 +10,33 @@ fi
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||||
head -n 1 ${FILE} > ./tmp.csv
|
||||
head -n 1 ${FILE} > ./data/test.csv
|
||||
cat ./data/train.csv >> ./tmp.csv
|
||||
tail -n 50 tmp.csv >> ./data/test.csv
|
||||
head -n -50 ./data/train.csv >> ./tmp.csv
|
||||
tail -n 50 ./data/train.csv >> ./data/test.csv
|
||||
|
||||
cnt=`wc ${FILE} | awk '{print $1}'`
|
||||
step=50
|
||||
maxn=$((cnt / step * step + 1))
|
||||
|
||||
for step in {51..501..50}
|
||||
do
|
||||
step=51
|
||||
while [[ ${step} -le ${maxn} ]]; do
|
||||
echo "step=${step}"
|
||||
tail -n ${step} tmp.csv > ./data/train.csv
|
||||
algorithm=lr python3 rf.py
|
||||
algorithm=rf python3 rf.py
|
||||
algorithm=tree python3 rf.py
|
||||
algorithm=ada python3 rf.py
|
||||
algorithm=gbdt python3 rf.py
|
||||
echo 'lr:'
|
||||
display_diff=0 algorithm=lr python3 rf.py
|
||||
|
||||
echo 'rf:'
|
||||
display_diff=0 algorithm=rf python3 rf.py
|
||||
|
||||
echo 'dt:'
|
||||
display_diff=0 algorithm=dt python3 rf.py
|
||||
|
||||
echo 'ada:'
|
||||
display_diff=0 algorithm=ada python3 rf.py
|
||||
|
||||
echo 'gbdt:'
|
||||
display_diff=0 algorithm=gbdt python3 rf.py
|
||||
echo -e "\n"
|
||||
step=$(($step + 50))
|
||||
done
|
||||
|
||||
rm ./data/train.csv
|
||||
|
||||
4
rf.py
4
rf.py
@ -246,7 +246,7 @@ if __name__ == '__main__':
|
||||
y_pred = adaboost_train(feature_data, label_data, test_feature)
|
||||
elif algorithm == 'gbdt':
|
||||
y_pred = adaboost_train(feature_data, label_data, test_feature)
|
||||
elif algorithm == 'tree':
|
||||
elif algorithm == 'dt':
|
||||
y_pred = decision_tree_train(feature_data, label_data, test_feature)
|
||||
else:
|
||||
y_pred = random_forest_train(feature_data, label_data, test_feature)
|
||||
@ -259,5 +259,7 @@ if __name__ == '__main__':
|
||||
r2 = 1 - MSE / var
|
||||
# print(abs(test_label - y_pred) / test_label)
|
||||
print(RMSE, r2)
|
||||
display_diff = os.getenv('display_diff', '0')
|
||||
if display_diff == '1':
|
||||
for i in range(20):
|
||||
print("{},{},{}".format(test_label[i], y_pred[i], (y_pred[i] - test_label[i]) / test_label[i]))
|
||||
|
||||
Loading…
Reference in New Issue
Block a user