Leonardo Noleto noleto

## uci_bank_marketing_dataset_extract_timestamp.py
## Data set in https://archive.ics.uci.edu/ml/datasets/bank+marketing does not contain timestamp.
## We can "deduce" them from the ordedr of records and use month and day_of_week columns to create a full date
## We know the first record was from 05-05-2008

import pandas as pd
import numpy as np
import datetime as dt
import sys

# read records from May 2008 to November 2010

## XGBoost+and+ELI5+-+prediction+does+not+match+sum+of+weights.ipynb

      
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                noleto
                / XGBoost+and+ELI5+-+prediction+does+not+match+sum+of+weights.ipynb
            
            
              Created
              August 6, 2018 15:22
            
              
                XGboost and ELI5 - misleading local feature contribution 
              
          
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## gist:85643da1f7d7e5d5ca43a2308bc4d2f9
xgb.plot_tree(booster, num_trees=1, rankdir='LR')
fig = matplotlib.pyplot.gcf()
fig.set_size_inches(80, 20)
fig.savefig('tree.png')

## lime_local_prediction_manual_calculation.py
import numpy as np
import pandas as pd
import xgboost as xgb

from sklearn.model_selection import train_test_split
from sklearn.datasets import make_regression

import lime.lime_tabular

### make data

## shap_xgboost.py

# coding: utf-8

# In[1]:

### using XGBoost model with SHAP

import numpy as np
import pandas as pd
import xgboost as xgb

## easy-docker.sh
sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
sudo echo "deb https://apt.dockerproject.org/repo ubuntu-trusty main" >> /etc/apt/sources.list.d/docker.list
sudo apt-get update
sudo apt-get purge lxc-docker
sudo apt-cache policy docker-engine
sudo apt-get install docker-engine
sudo service docker start

## install-mongo.sh
#!/bin/bash

#How to use it?
#wget -O- https://gist.github.com/noleto/8103292/raw/e6a77ef6faa0eab3676287b9a265a15b4d9edee3/install-mongo.sh | sh

LOG_TIME_FORMAT='date +%d-%m-%Y_%T'

echo "------------------------------------------"
echo "Install MongoDB on Ubuntu"
echo "------------------------------------------"

## stream_jcdecaux.sh
#!/bin/bash

MONGO=/path/install/mongo-db/bin
HOME=/path/jcdecaux/stockage

#Attention: changer le contrat Toulouse par celui de votre ville
status=$(curl -w %{http_code} -s 'https://api.jcdecaux.com/vls/v1/stations?contract=Toulouse&apiKey={cleAPI}' -o $HOME/all_stations.json $1)

if [ $status -ne 200 ]
then
	## Data set in https://archive.ics.uci.edu/ml/datasets/bank+marketing does not contain timestamp.
	## We can "deduce" them from the ordedr of records and use month and day_of_week columns to create a full date
	## We know the first record was from 05-05-2008

	import pandas as pd
	import numpy as np
	import datetime as dt
	import sys

	# read records from May 2008 to November 2010
	xgb.plot_tree(booster, num_trees=1, rankdir='LR')
	fig = matplotlib.pyplot.gcf()
	fig.set_size_inches(80, 20)
	fig.savefig('tree.png')
	import numpy as np
	import pandas as pd
	import xgboost as xgb

	from sklearn.model_selection import train_test_split
	from sklearn.datasets import make_regression

	import lime.lime_tabular

	### make data

	# coding: utf-8

	# In[1]:

	### using XGBoost model with SHAP

	import numpy as np
	import pandas as pd
	import xgboost as xgb
	sudo apt-key adv --keyserver hkp://p80.pool.sks-keyservers.net:80 --recv-keys 58118E89F3A912897C070ADBF76221572C52609D
	sudo echo "deb https://apt.dockerproject.org/repo ubuntu-trusty main" >> /etc/apt/sources.list.d/docker.list
	sudo apt-get update
	sudo apt-get purge lxc-docker
	sudo apt-cache policy docker-engine
	sudo apt-get install docker-engine
	sudo service docker start
	#!/bin/bash

	#How to use it?
	#wget -O- https://gist.github.com/noleto/8103292/raw/e6a77ef6faa0eab3676287b9a265a15b4d9edee3/install-mongo.sh \| sh

	LOG_TIME_FORMAT='date +%d-%m-%Y_%T'

	echo "------------------------------------------"
	echo "Install MongoDB on Ubuntu"
	echo "------------------------------------------"
	#!/bin/bash

	MONGO=/path/install/mongo-db/bin
	HOME=/path/jcdecaux/stockage

	#Attention: changer le contrat Toulouse par celui de votre ville
	status=$(curl -w %{http_code} -s 'https://api.jcdecaux.com/vls/v1/stations?contract=Toulouse&apiKey={cleAPI}' -o $HOME/all_stations.json $1)

	if [ $status -ne 200 ]
	then