maods2

# Assuming an Ubuntu Docker image
$ docker run -it <image> /bin/bash

maods2

# The MIT License (MIT)
# Copyright (c) 2016 Vladimir Ignatev
#
# Permission is hereby granted, free of charge, to any person obtaining 
# a copy of this software and associated documentation files (the "Software"), 
# to deal in the Software without restriction, including without limitation 
# the rights to use, copy, modify, merge, publish, distribute, sublicense, 
# and/or sell copies of the Software, and to permit persons to whom the Software 
# is furnished to do so, subject to the following conditions:
# 

maods2

########################################
## Title: Spark MLlib Random Forest Classification Script, with Cross-Validation and Parameter Sweep
## Language: PySpark
## Author: Colby T. Ford, Ph.D.
########################################

from pyspark.ml.classification import RandomForestClassifier
from pyspark.ml.tuning import ParamGridBuilder, CrossValidator
from pyspark.ml.evaluation import BinaryClassificationEvaluator
from pyspark.mllib.evaluation import BinaryClassificationMetrics

maods2

#!/bin/bash
# Adicione um novo remote; pode chamá-lo de "upstream":

git remote add upstream https://github.com/usuario/projeto.git

# Obtenha todos os branches deste novo remote,
# como o upstream/master por exemplo:

git fetch upstream