Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112
For older versions of Spark and ipython, please, see also previous version of text.
Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112
For older versions of Spark and ipython, please, see also previous version of text.
| # Defaults / Configuration options for homebridge | |
| # The following settings tells homebridge where to find the config.json file and where to persist the data (i.e. pairing and others) | |
| HOMEBRIDGE_OPTS=-U /var/lib/homebridge | |
| # If you uncomment the following line, homebridge will log more | |
| # You can display this via systemd's journalctl: journalctl -f -u homebridge | |
| # DEBUG=* |
| ''' Script for downloading all GLUE data. | |
| Note: for legal reasons, we are unable to host MRPC. | |
| You can either use the version hosted by the SentEval team, which is already tokenized, | |
| or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually. | |
| For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example). | |
| You should then rename and place specific files in a folder (see below for an example). | |
| mkdir MRPC | |
| cabextract MSRParaphraseCorpus.msi -d MRPC |
| # -*- coding: utf-8 -*- | |
| """ | |
| @author: goraj | |
| """ | |
| import lightgbm as lgbm | |
| from sklearn.datasets import load_digits | |
| import numpy as np | |
| from sklearn.model_selection import train_test_split | |
| from sklearn.metrics import roc_auc_score |
| { | |
| "bracket-pair-colorizer-2.colors": [ | |
| "Gold", | |
| "Orchid", | |
| "LightSkyBlue", | |
| "Salmon", | |
| "LawnGreen", | |
| "DarkOrange", | |
| "Cornsilk" | |
| ], |
| /* | |
| Set this on an empty game object positioned at (0,0,0) and attach your active camera. | |
| The script only runs on mobile devices or the remote app. | |
| */ | |
| using UnityEngine; | |
| class ScrollAndPinch : MonoBehaviour |
| from langchain.callbacks.base import BaseCallbackHandler | |
| import azure.cognitiveservices.speech as speechsdk | |
| import os | |
| import base64 | |
| import time | |
| class StreamDisplayHandler(BaseCallbackHandler): | |
| def __init__(self, container, initial_text="", display_method='markdown'): | |
| self.container = container | |
| self.text = initial_text | |
| self.display_method = display_method |
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