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Save classifier to disk in scikit-learn
...t objects that can be pickled and dumped like any other. To continue your example:
import cPickle
# save the classifier
with open('my_dumped_classifier.pkl', 'wb') as fid:
cPickle.dump(gnb, fid)
# load it again
with open('my_dumped_classifier.pkl', 'rb') as fid:
gnb_loaded = cPickle.lo...
Remove an entire column from a data.frame in R
...es anyone know how to remove an entire column from a data.frame in R? For example if I am given this data.frame:
6 Answers
...
Meaning of = delete after function declaration
What does = delete mean in that context?
9 Answers
9
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libpthread.so.0: error adding symbols: DSO missing from command line
...prototypes -Wmissing-field-initializers -Wno-override-init \
-g -O2 -export-dynamic -o utilities/ovs-dpctl utilities/ovs-dpctl.o \
lib/libopenvswitch.a \
/home/jyyoo/src/dpdk/build/lib/librte_eal.a /home/jyyoo/src/dpdk/build/lib/libethdev.a /home/jyyoo/src/dpdk/build/lib/librte_cmdlin...
Get ffmpeg information in friendly way
... about my video files with ffmpeg, it pukes a lot of useless information mixed with good things.
4 Answers
...
How to use LINQ to select object with minimum or maximum property value
...
People.Aggregate((curMin, x) => (curMin == null || (x.DateOfBirth ?? DateTime.MaxValue) <
curMin.DateOfBirth ? x : curMin))
share
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improv...
How to fix: “UnicodeDecodeError: 'ascii' codec can't decode byte”
How to fix it?
19 Answers
19
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How do I iterate over an NSArray?
...dard idiom to iterate over an NSArray. My code needs to be suitable for OS X 10.4+.
8 Answers
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The difference between sys.stdout.write and print?
...ject is sys.stdout, but you can pass a file using the "chevron" form. For example:
print >> open('file.txt', 'w'), 'Hello', 'World', 2+3
See: https://docs.python.org/2/reference/simple_stmts.html?highlight=print#the-print-statement
In Python 3.x, print becomes a function, but it is still...
How to iterate over rows in a DataFrame in Pandas
...
DataFrame.iterrows is a generator which yields both the index and row (as a Series):
import pandas as pd
import numpy as np
df = pd.DataFrame({'c1': [10, 11, 12], 'c2': [100, 110, 120]})
for index, row in df.iterrows():
print(row['c1'], row['c2'])
10 100
11 110
12 120
...