abarmat

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

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