我正在尝试在具有5个属性和1个类的2,79,900个实例上运行sklearn随机森林分类。但是，在运行fit线时，我遇到了内存分配错误，它无法训练分类器本身。有什么建议可以解决这个问题吗？
数据为：
x，y，day，week，Accuracy
其中，x和y是坐标，day是月份中的哪一天（1-30），week是星期中的哪一天（1-7），accuracy是整数。
代码：
数据为：
x，y，day，week，Accuracy
其中，x和y是坐标，day是月份中的哪一天（1-30），week是星期中的哪一天（1-7），accuracy是整数。
代码：
import csv
import numpy as np
from sklearn.ensemble import RandomForestClassifier
with open("time_data.csv", "rb") as infile:
re1 = csv.reader(infile)
result=[]
##next(reader, None)
##for row in reader:
for row in re1:
result.append(row[8])
trainclass = result[:251900]
testclass = result[251901:279953]
with open("time_data.csv", "rb") as infile:
re = csv.reader(infile)
coords = [(float(d[1]), float(d[2]), float(d[3]), float(d[4]), float(d[5])) for d in re if len(d) > 0]
train = coords[:251900]
test = coords[251901:279953]
print "Done splitting data into test and train data"
clf = RandomForestClassifier(n_estimators=500,max_features="log2", min_samples_split=3, min_samples_leaf=2)
clf.fit(train,trainclass)
print "Done training"
score = clf.score(test,testclass)
print "Done Testing"
print score
错误:
line 366, in fit
builder.build(self.tree_, X, y, sample_weight, X_idx_sorted)
File "sklearn/tree/_tree.pyx", line 145, in sklearn.tree._tree.DepthFirstTreeBuilder.build
File "sklearn/tree/_tree.pyx", line 244, in sklearn.tree._tree.DepthFirstTreeBuilder.build
File "sklearn/tree/_tree.pyx", line 735, in sklearn.tree._tree.Tree._add_node
File "sklearn/tree/_tree.pyx", line 707, in sklearn.tree._tree.Tree._resize_c
File "sklearn/tree/_utils.pyx", line 39, in sklearn.tree._utils.safe_realloc
MemoryError: could not allocate 10206838784 bytes