abarmat

Verifying that "abarmat.id" is my Blockstack ID. https://onename.com/abarmat

abarmat

Keybase proof

I hereby claim:

• I am abarmat on github.
• I am abarmat (https://keybase.io/abarmat) on keybase.
• I have a public key whose fingerprint is 7A5E 39AF 8053 DD3F F514 8831 51DF 9451 E697 7209

To claim this, I am signing this object:

abarmat

import pprint
import re
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

from sklearn import metrics, cross_validation
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.feature_extraction import DictVectorizer
from sklearn.feature_extraction.text import CountVectorizer, TfidfTransformer

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library('e1071');
library(Amelia)

FILENAME <- 'tp2-work.csv'

# Randomizer
set.seed(100)

# Read file
data <- read.csv(FILENAME, header=TRUE, sep=";")

abarmat

library('e1071');
library('SparseM');
library('tm');

FILENAME <- 'tp2-work.csv'

# Randomizer
set.seed(100)

# Read file

abarmat

setwd("D:/Datamining")

# para eliminar error de java
if (Sys.getenv("JAVA_HOME")!="")
  Sys.setenv(JAVA_HOME="")

# paquetes requeridos
if(!require (RWeka)){
  install.packages('RWeka')  
  require (RWeka)

abarmat

library(xgboost)
library(stringr)


preprocess <- function(items) {
  # Select features
  attr_list = c('anio', 'mes', 'tipoprop', 'lugar', 'sup_tot_m2', 
                'lat_lon', 'sup_cub_m2', 'piso', 'cant_amb', 'geoname_num', 'Clase')
  df <- items[attr_list]
  

abarmat

import hashlib
import logging
import pandas as pd
import matplotlib
import matplotlib.pyplot as plt

from sklearn import preprocessing
from itertools import groupby
from operator import itemgetter

abarmat

for file in $(ls -p | sort -R | grep -v / | grep -v s.sh | tail -6000)
do
  mv $file ./cv/1/
done

abarmat

Web3 = require('web3')
web3 = new Web3(new Web3.providers.HttpProvider("http://localhost:8545"))