sarmbruster

#!/bin/sh

# start a neo4j docker container with apoc and bloom (server variant) configured
# this requires to have
# * curl, unzip and jq being installed
# * having a valid bloom license file

# released under the WTFPL (http://www.wtfpl.net/)
# (c) Stefan Armbruster

rcshubhadeep

from typing import Tuple


class TrieNode(object):
    """
    Our trie node implementation. Very basic. but does the job
    """
    
    def __init__(self, char: str):
        self.char = char

jorgehatccrma

"""
This simple Jython script shows how to use Apache Lucene
directly in a Jython script
"""

# your usual Python imports
import sys
from contextlib import contextmanager

# add jars to classpath

Sonictherocketman

#! /bin/bash
# Given the current working directory, find all of the files of the  
# type given and search for TODO comments in them and return a list
# of these items.
#
# Usage: todolist <dir> '*.py' 

DIR=$1
if [ -z "$DIR" ]; then
    DIR="."

hmldd

# coding:utf-8

from elasticsearch import Elasticsearch
import json

# Define config
host = "127.0.0.1"
port = 9200
timeout = 1000
index = "index"

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

etienned

try:
    from xml.etree.cElementTree import XML
except ImportError:
    from xml.etree.ElementTree import XML
import zipfile


"""
Module that extract text from MS XML Word document (.docx).
(Inspired by python-docx <https://github.com/mikemaccana/python-docx>)

mblondel

# (C) Mathieu Blondel, November 2013
# License: BSD 3 clause

import numpy as np


def ranking_precision_score(y_true, y_score, k=10):
    """Precision at rank k

    Parameters

danielestevez

1) Create a branch with the tag
	git branch {tagname}-branch {tagname}
	git checkout {tagname}-branch

2) Include the fix manually if it's just a change .... 
	git add .
	git ci -m "Fix included"
    or cherry-pick the commit, whatever is easier
	git cherry-pick  {num_commit}
	

fabianp

"""
Implementation of pairwise ranking using scikit-learn LinearSVC

Reference: 

    "Large Margin Rank Boundaries for Ordinal Regression", R. Herbrich,
    T. Graepel, K. Obermayer 1999

    "Learning to rank from medical imaging data." Pedregosa, Fabian, et al., 
    Machine Learning in Medical Imaging 2012.