logandillard

junpenglao

AustinRochford

rspeer

francoismarceau29

from sklearn.externals import joblib
from boto.s3.key import Key
from boto.s3.connection import S3Connection
from flask import Flask
from flask import request
from flask import json

BUCKET_NAME = 'your-s3-bucket-name'
MODEL_FILE_NAME = 'your-model-name.pkl'
MODEL_LOCAL_PATH = '/tmp/' + MODEL_FILE_NAME

aparrish

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

Nikolay-Lysenko

import numpy as np


def xgb_quantile_eval(preds, dmatrix, quantile=0.2):
    """
    Customized evaluational metric that equals
    to quantile regression loss (also known as
    pinball loss).

    Quantile regression is regression that

alanwill

import boto3

getCleanTable = taskStatus.query(
    KeyConditionExpression=Key('requestId').eq('a3248585-8ac0-4889-b1fb-976d9113f7f2') & Key('eventTimestamp').gt('1')
)

for i in getCleanTable['Items']:
    cleanupTable = boto3.client('dynamodb').batch_write_item(
        RequestItems={
            'talr-taskStatus': [

dwilkie

Build docker image

$ cd /path/to/Dockerfile
$ sudo docker build .

View running processes