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#CC = x86_64-linux-g++-4.6
CC = llvm-gcc
WEIGHTTYPE = float
CFLAGS = -D WEIGHTTYPE=$(WEIGHTTYPE) -lm -O2 -Wall -funroll-loops -ffast-math -lstdc++
#CFLAGS = -D WEIGHTTYPE=$(WEIGHTTYPE) -lm -O2 -Wall -funroll-loops -ffast-math
#CFLAGS = -lm -O2 -Wall

all: rnnlmlib.o rnnlm

rnnlmlib.o : rnnlmlib.cpp

tpeng

diff --git a/configure.in b/configure.in
index dafbcf6..743037c 100644
--- a/configure.in
+++ b/configure.in
@@ -30,7 +30,7 @@ dnl ------------------------------------------------------------------
 AM_INIT_AUTOMAKE(crfsuite, 0.12)
 AC_CONFIG_HEADERS(config.h)
 AM_MAINTAINER_MODE
-AM_C_PROTOTYPES
+

tpeng

Sublime Text 2 – Useful Shortcuts (PC)

Loosely ordered with the commands I use most towards the top. Sublime also offer full documentation.

Editing

Ctrl+C	copy current line (if no selection)
Ctrl+X	cut current line (if no selection)
Ctrl+⇧+K	delete line
Ctrl+↩	insert line after

tpeng

diff --git a/webstruct/model.py b/webstruct/model.py
index f77ab36..941cd8f 100644
--- a/webstruct/model.py
+++ b/webstruct/model.py
@@ -111,6 +111,13 @@ class NER(object):
         Return annotated HTML data in WebAnnotator format.
         """
         html_tokens, tags = self.extract_raw(bytes_data)
+        return self.annotate_tokens(html_tokens, tags)
+

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#!/usr/bin/python

# crf.py (by Graham Neubig)
#  This script trains conditional random fields (CRFs)
#  stdin: A corpus of WORD_POS WORD_POS WORD_POS sentences
#  stdout: Feature vectors for emission and transition properties

from collections import defaultdict
from math import log, exp
import sys

tpeng

• Update HISTORY.rst
• Update version number in my_project/__init__.py
• Update version number in setup.py
• Install the package again for local development, but with the new version number:

python setup.py develop

• Run the tests:

python setup.py test

tpeng

#netaporter_bookmarklet_table{
  border: 3px solid #333;
  position: fixed;
	_position:absolute;
	top: 0;
	right: 0;
	width: 570px;
	height: 80px;
	z-index: 10000000;
	margin: 0;

tpeng