xoba

import java.io.BufferedInputStream;
import java.io.BufferedReader;
import java.io.File;
import java.io.InputStreamReader;
import java.io.OutputStream;
import java.net.ServerSocket;
import java.net.Socket;
import java.net.URLDecoder;
import java.util.LinkedList;
import java.util.List;

xoba

yahoo <- function(s) read.csv(file=paste('http://ichart.finance.yahoo.com/table.csv?s=',s,'&c=1900&f=2012&g=d',sep=''));

ticker = 'AAPL'

dat = yahoo(ticker);

plot(main=ticker, xlab='date', ylab='close price',
as.Date(dat$Date),dat$Adj.Close,type='l',log='y');
grid();

xoba

$(function() {

    $('#title').html("sgdmf");

    (function() {
	var i = [];

	i.push("<p>");
	i.push("This is a demo of stochastic gradient descent applied to matrix factorization.");
	i.push("'lambda' penalizes model complexity (in terms of rank), so");

xoba

$(function() {

    $('#title').html("sgdmf");

    (function() {
	var i = [];

	i.push("<p>");
	i.push("This is a demo of stochastic gradient descent applied to matrix factorization.");
	i.push("'lambda' penalizes model complexity (in terms of rank), so");

xoba

// see http://www.netlib.org/clapack/cblas/dgemv.c
package main

/*
#cgo LDFLAGS: -L/usr/lib/libblas -lblas
#include <stdlib.h>
extern void dgemv_(char* trans, int *m, int *n, double *alpha,
    double *A, int *lda, double *x, int *incx, double *beta, double *y,
    int *incy);
*/

xoba

package main

import (
	"encoding/xml"
	"fmt"
	"net/http"
	"os"
	"time"
)