mcroydon

package com.postneo
package index
package test

import org.apache.lucene.analysis.SimpleAnalyzer
import org.apache.lucene.analysis.standard.StandardAnalyzer
import org.apache.lucene.document.{Document, Field}
import org.apache.lucene.index.{IndexWriter, Term}
import org.apache.lucene.search.{IndexSearcher, Query, TermQuery, TopDocs}
import org.apache.lucene.store.RAMDirectory

anvie

package com.ansvia.belajar.lucene

import org.apache.lucene.analysis.standard.StandardAnalyzer
import org.apache.lucene.util.Version
import org.apache.lucene.store.SimpleFSDirectory

import java.io.{FileReader, File}
import org.apache.lucene.document.{Field, Document}
import org.apache.lucene.queryParser.QueryParser

vinicius85

import java.util.ArrayList;
import java.util.List;
import org.apache.lucene.search.spell.JaroWinklerDistance;
import org.apache.lucene.search.spell.LevensteinDistance;
import org.apache.lucene.search.spell.NGramDistance;
import org.apache.lucene.search.spell.StringDistance;

public class TestLuceneDistanceImplementations
{
    public static void main(String[] args)

rxaviers

People

:bowtie:	😄 :smile:	😆 :laughing:
😊 :blush:	😃 :smiley:	☺️ :relaxed:
😏 :smirk:	😍 :heart_eyes:	😘 :kissing_heart:
😚 :kissing_closed_eyes:	😳 :flushed:	😌 :relieved:
😆 :satisfied:	😁 :grin:	😉 :wink:
😜 :stuck_out_tongue_winking_eye:	😝 :stuck_out_tongue_closed_eyes:	😀 :grinning:
😗 :kissing:	😙 :kissing_smiling_eyes:	😛 :stuck_out_tongue:

ExpandOcean

# coding:utf-8
from kivy.app import App
from kivy.uix.image import Image
from kivy.clock import Clock
from kivy.graphics.texture import Texture
import cv2


class KivyCamera(Image):
    def __init__(self, capture, fps, **kwargs):

hussaintamboli

from flask import Response, jsonify
import json
from flask_restful import Resource

class Api(Resource):

    def post(self):
        response = Response(
            response=json.dumps(dict(error='err')), 

andyyou

dschep

Installing Python 3.6 on Raspbian

As of January 2018, Raspbian does not yet include the latest Python release, Python 3.6. This means we will have to build it ourselves, and here is how to do it. There is also an ansible role attached that automates it all for you.

1. Install the required build-tools (some might already be installed on your system).

aparrish

wrwr

import time

import xgboost as xgb
from sklearn.model_selection import RandomizedSearchCV

x_train, y_train, x_valid, y_valid, x_test, y_test =  # load datasets

clf = xgb.XGBClassifier()

param_grid = {