naomi fridman naomifridman

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## sample_titanic.csv

          
            Survived
            Pclass
            Sex
            Age
            SibSp
            Parch
            Fare
            Embarked

            
              1
              3
              female
              1.0
              0
              2
              15.7417
              C

            
              1
              2
              male
              
              0
              0
              13.0
              S

            
              1
              1
              female
              
              1
              0
              51.8625
              S

            
              1
              1
              male
              40.0
              0
              0
              31.0
              C

            
              0
              2
              male
              34.0
              0
              0
              13.0
              S

## sampled_itcont_2018.csv

          
            CMTE_ID
            ENTITY_TP
            EMPLOYER
            OCCUPATION
            TRANSACTION_DT
            TRANSACTION_AMT

            
              C00629618
              IND
              PRINCIPAL
              DOUBLE NICKEL ADVISORS
              2017-01-03
              40

            
              C00473249
              IND
              
              RETIRED
              2017-01-20
              500

            
              C00397455
              IND
              PHARMERICA
              CEO
              2017-01-20
              192

            
              C00264689
              IND
              USPS
              LETTER CARRIER
              2017-01-18
              250

            
              C00139659
              IND
              SELF EMPLOYED
              TRAVEL AGENT
              2017-01-10
              250

## indiv_header_file.csv

          
            CMTE_ID
            AMNDT_IND
            RPT_TP
            TRANSACTION_PGI
            IMAGE_NUM
            TRANSACTION_TP
            ENTITY_TP
            NAME
            CITY
            STATE
            ZIP_CODE
            EMPLOYER
            OCCUPATION
            TRANSACTION_DT
            TRANSACTION_AMT
            OTHER_ID
            TRAN_ID
            FILE_NUM
            MEMO_CD
            MEMO_TEXT
            SUB_ID

## sample_Form2Filer_2018.csv
,CANDIDATE_ID,CANDIDATE_NAME,PARTY,PARTY_CODE,CANDIDATE_OFFICE,CANDIDATE_OFFICE_CODE,CANDIDATE_OFFICE_STATE,CANDIDATE_OFFICE_STATE_CODE,CANDIDATE_OFFICE_DISTRICT,CITY,STATE,ZIP,ELECTION_YEAR,RECEIPT_DATE,REPORT_YEAR,BEGIN_IMAGE_NUMBER
0,H8DC00192,"CHEEKS, JOHN C",Independent American Party,IAP,House,H,District Of Columbia,DC,0.0,WASHINGTON,DC,20007.0,2018,18-OCT-18,2018,201810180300238682
1,H8NJ07256,"MOXLEY, DIANE",Green Party,GRE,House,H,New Jersey,NJ,7.0,GARWOOD,NJ,7027.0,2018,17-OCT-18,2018,201810170300237429
2,S8RI00177,"COSTA, MICHAEL",Independent,IND,Senate,S,Rhode Island,RI,0.0,BRISTOL,RI,28099998.0,2018,16-OCT-18,2018,201810169125548990
3,H8PA16094,"BEEMAN, EBERT GORDAN",Libertarian Party,LIB,House,H,Pennsylvania,PA,16.0,ERIE,PA,16510.0,2018,13-OCT-18,2018,201810139124739087
4,H8MD04239,"BISHOP, DAVID ANTHONY DARK HORSE",Libertarian Party,LIB,House,H,Maryland,MD,4.0,ARNOLD,MD,21012.0,2018,12-OCT-18,2018,201810129124516955
5,S8ME00171,"RILEY JR, JAMES N",Unknown,,Senate,S,Maine,ME,0.0,,,,2018,11-OCT-1

## 3_install_deeplearning_libs.sh
#!/usr/bin/env bash
# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
# BSD License

orig_executor="$(whoami)"
if [ "$(whoami)" == "root" ]; then
  echo "running as root, please run as user you want to have stuff installed as"
  exit 1
fi
###################################
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
Survived	Pclass	Sex	Age	SibSp	Parch	Fare	Embarked
1	3	female	1.0	0	2	15.7417	C
1	2	male		0	0	13.0	S
1	1	female		1	0	51.8625	S
1	1	male	40.0	0	0	31.0	C
0	2	male	34.0	0	0	13.0	S
CMTE_ID	ENTITY_TP	EMPLOYER	OCCUPATION	TRANSACTION_DT	TRANSACTION_AMT
C00629618	IND	PRINCIPAL	DOUBLE NICKEL ADVISORS	2017-01-03	40
C00473249	IND		RETIRED	2017-01-20	500
C00397455	IND	PHARMERICA	CEO	2017-01-20	192
C00264689	IND	USPS	LETTER CARRIER	2017-01-18	250
C00139659	IND	SELF EMPLOYED	TRAVEL AGENT	2017-01-10	250
	,CANDIDATE_ID,CANDIDATE_NAME,PARTY,PARTY_CODE,CANDIDATE_OFFICE,CANDIDATE_OFFICE_CODE,CANDIDATE_OFFICE_STATE,CANDIDATE_OFFICE_STATE_CODE,CANDIDATE_OFFICE_DISTRICT,CITY,STATE,ZIP,ELECTION_YEAR,RECEIPT_DATE,REPORT_YEAR,BEGIN_IMAGE_NUMBER
	0,H8DC00192,"CHEEKS, JOHN C",Independent American Party,IAP,House,H,District Of Columbia,DC,0.0,WASHINGTON,DC,20007.0,2018,18-OCT-18,2018,201810180300238682
	1,H8NJ07256,"MOXLEY, DIANE",Green Party,GRE,House,H,New Jersey,NJ,7.0,GARWOOD,NJ,7027.0,2018,17-OCT-18,2018,201810170300237429
	2,S8RI00177,"COSTA, MICHAEL",Independent,IND,Senate,S,Rhode Island,RI,0.0,BRISTOL,RI,28099998.0,2018,16-OCT-18,2018,201810169125548990
	3,H8PA16094,"BEEMAN, EBERT GORDAN",Libertarian Party,LIB,House,H,Pennsylvania,PA,16.0,ERIE,PA,16510.0,2018,13-OCT-18,2018,201810139124739087
	4,H8MD04239,"BISHOP, DAVID ANTHONY DARK HORSE",Libertarian Party,LIB,House,H,Maryland,MD,4.0,ARNOLD,MD,21012.0,2018,12-OCT-18,2018,201810129124516955
	5,S8ME00171,"RILEY JR, JAMES N",Unknown,,Senate,S,Maine,ME,0.0,,,,2018,11-OCT-1
	#!/usr/bin/env bash
	# Installation script for Deep Learning Libraries on Ubuntu 14.04, by Roelof Pieters (@graphific)
	# BSD License

	orig_executor="$(whoami)"
	if [ "$(whoami)" == "root" ]; then
	echo "running as root, please run as user you want to have stuff installed as"
	exit 1
	fi
	###################################