Mercè Martín-Prats mmerce

## multi_label_recruiting.txt
ID,Name,Age,Gender,Marital Status,Certifications,Recommendations,Courses,Titles,Languages,Skills
1,Fannie Dais,51,Female,Widowed,5,10,3,Student:Manager,French:English,Software Engineering Management:Recruiting:JSON:Perl/Python/Ruby:Oracle:Database Management and Software:Business Development/Relationship Management
2,Isaias Stoodley,47,Male,Divorced,5,10,6,Manager:CEO,English:German:Italian,MongoDB:Recruiting:Software Engineering Management:Business Intelligence:Linux:Oracle
3,Mari Gramling,19,Male,Married,0,0,0,Student,French,MongoDB:JSON:Web programming
4,Barrie Murakami,45,Male,Divorced,1,5,3,Engineer,German:English,Windows:MongoDB:Algorithm Design:MySQL:Linux

## Recruiting_1.sh
bigmler --multi-label --name Recruiting_Multilabel \
        --train multi_label_recruiting.csv \
        --multi-label-fields Titles,Languages,Skills \
        --objective Titles --label-separator :

## Recruiting_2.sh
bigmler --multi-label --name Recruiting_Multilabel \
        --train multi_label_recruiting.csv \
        --multi-label-fields Titles,Languages,Skills \
        --objective Titles --label-separator : \
        --label-aggregate count,last

## Recruiting_4.sh
bigmler --model-tag multi-label-recruiting \
        --test new_profiles.csv --method combined

## index.html
<!DOCTYPE HTML>
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" id="bigml" xmlns:fb="http://ogp.me/ns/fb#">
    <head>
        <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><meta http-equiv="Content-Language" content="en" />
    </head>
    <body>
        <iframe src="https://bigml.com/embedded/model/eeryQD2GindI7uhR4UyNG4PHbp6" frameborder="0" allowtransparency="true" allowfullscreen="allowfullscreen" width="600" height="400"></iframe>
    </body>
</html>

## index.html
<!DOCTYPE HTML>
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" id="bigml" xmlns:fb="http://ogp.me/ns/fb#">
    <head>
        <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><meta http-equiv="Content-Language" content="en" />
    </head>
    <body>
        <iframe src="https://bigml.com/embedded/model/6vG71e7EX8eOqmFDhHURx0PJTkF" frameborder="0" allowtransparency="true" allowfullscreen="allowfullscreen" width="600" height="400"></iframe>
    </body>
</html>

## index.html
<!DOCTYPE HTML>
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" id="bigml" xmlns:fb="http://ogp.me/ns/fb#">
    <head>
        <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><meta http-equiv="Content-Language" content="en" />
    </head>
    <body>
        <iframe src="https://bigml.com/embedded/model/xpL73L7M8E02OLazWYMf6PB6ppi" frameborder="0" allowtransparency="true" allowfullscreen="allowfullscreen" width="600" height="400"></iframe>
    </body>
</html>

## index.html
<!DOCTYPE HTML>
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" id="bigml" xmlns:fb="http://ogp.me/ns/fb#">
    <head>
        <meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><meta http-equiv="Content-Language" content="en" />
    </head>
    <body>
        <iframe src="https://bigml.com/embedded/model/1k8vnjNALPxul12HsqIfYRWOFBE" frameborder="0" allowtransparency="true" allowfullscreen="allowfullscreen" width="600" height="400"></iframe>
    </body>
</html>

## list_sources.py
from bigml.api import BigML, FINISHED
api = BigML()
DATE = '2013-10-05T00:25:36.973000'
PAGE_LENGTH = 20 # number of resources to be retrieved in one list call
# q_w: query_string with the query parameters. In this case, creation data and
# maximum number of resources to be returned.
QUERY_STRING = "created__gte=%s" % DATE

# api_function: function that should be used to retrieve the resources. In this
# case we use the list_sources call to retrieve sources. We could use any

## min_features.sh
bigmler analyze --features \
                --dataset dataset/535f5ecc37203f272e0001b4
	ID,Name,Age,Gender,Marital Status,Certifications,Recommendations,Courses,Titles,Languages,Skills
	1,Fannie Dais,51,Female,Widowed,5,10,3,Student:Manager,French:English,Software Engineering Management:Recruiting:JSON:Perl/Python/Ruby:Oracle:Database Management and Software:Business Development/Relationship Management
	2,Isaias Stoodley,47,Male,Divorced,5,10,6,Manager:CEO,English:German:Italian,MongoDB:Recruiting:Software Engineering Management:Business Intelligence:Linux:Oracle
	3,Mari Gramling,19,Male,Married,0,0,0,Student,French,MongoDB:JSON:Web programming
	4,Barrie Murakami,45,Male,Divorced,1,5,3,Engineer,German:English,Windows:MongoDB:Algorithm Design:MySQL:Linux
	bigmler --multi-label --name Recruiting_Multilabel \
	--train multi_label_recruiting.csv \
	--multi-label-fields Titles,Languages,Skills \
	--objective Titles --label-separator :
	bigmler --model-tag multi-label-recruiting \
	--test new_profiles.csv --method combined
	<!DOCTYPE HTML>
	<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en" id="bigml" xmlns:fb="http://ogp.me/ns/fb#">
	<head>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8" /><meta http-equiv="Content-Language" content="en" />
	</head>
	<body>
	<iframe src="https://bigml.com/embedded/model/eeryQD2GindI7uhR4UyNG4PHbp6" frameborder="0" allowtransparency="true" allowfullscreen="allowfullscreen" width="600" height="400"></iframe>
	</body>
	</html>
	from bigml.api import BigML, FINISHED
	api = BigML()
	DATE = '2013-10-05T00:25:36.973000'
	PAGE_LENGTH = 20 # number of resources to be retrieved in one list call
	# q_w: query_string with the query parameters. In this case, creation data and
	# maximum number of resources to be returned.
	QUERY_STRING = "created__gte=%s" % DATE

	# api_function: function that should be used to retrieve the resources. In this
	# case we use the list_sources call to retrieve sources. We could use any
	bigmler analyze --features \
	--dataset dataset/535f5ecc37203f272e0001b4