public ActionResult Details(int id = 0, int?p = 1)
{
Jockey jockey = db.Jockeys.Find(id);
if (jockey == null)
{
return(HttpNotFound());
}
if (jockey.TwitterId != null)
{
var auth = TwitterUtilities.GetAuthorizer();
var ctx = new TwitterContext(auth);
var tweets =
from tweet in ctx.Status
where tweet.Type == StatusType.User &&
tweet.ScreenName == jockey.TwitterId
select tweet;
if (tweets != null)
{
try
{
ViewData["Tweets"] = tweets.ToList();
}
catch
{
Console.WriteLine("Tweet problem...");
}
}
}
int page = p ?? 1;
ViewBag.Results = db.Results.Include("Race.Meeting.Course").Include("Horse").Where(r => r.Jockey.Id == jockey.Id).OrderByDescending(r => r.Race.OffTime).ToPagedList(page, 50);
return(View(jockey));
}
public ActionResult Details(int id = 0, int?p = 1)
{
Course course = db.Courses.Include(t => t.Address).FirstOrDefault(t => t.Id == id);
if (course == null)
{
return(HttpNotFound());
}
if (course.TwitterId != null)
{
var auth = TwitterUtilities.GetAuthorizer();
var ctx = new TwitterContext(auth);
var tweets =
from tweet in ctx.Status
where tweet.Type == StatusType.User &&
tweet.ScreenName == course.TwitterId
select tweet;
if (tweets != null)
{
ViewBag.Tweets = tweets.ToList();
}
}
int page = p ?? 1;
ViewBag.Races = db.Races.Where(r => r.Meeting.Course.Id == course.Id).OrderByDescending(r => r.OffTime).ToPagedList(page, 50);
return(View(course));
}
public ActionResult Details(int id = 0)
{
Trainer trainer = db.Trainers.Include(t => t.Address).FirstOrDefault(t => t.Id == id);
if (trainer == null)
{
return(HttpNotFound());
}
if (trainer.TwitterId != null)
{
var auth = TwitterUtilities.GetAuthorizer();
var ctx = new TwitterContext(auth);
var tweets =
from tweet in ctx.Status
where tweet.Type == StatusType.User &&
tweet.ScreenName == trainer.TwitterId
select tweet;
if (tweets != null)
{
ViewData["Tweets"] = tweets.ToList();
}
}
return(View(trainer));
}
ImputeEmotionalContentFromFile(string filename, uint column, uint repeats, string imputesave)
{
MemorySource <string, ThreeTuple <ContinuousDistribution, ContinuousDistribution, ContinuousDistribution> > imputed = new MemorySource <string, ThreeTuple <ContinuousDistribution, ContinuousDistribution, ContinuousDistribution> >();
ComboSource <string, ThreeTuple <ContinuousDistribution, ContinuousDistribution, ContinuousDistribution> > combo = new ComboSource <string, ThreeTuple <ContinuousDistribution, ContinuousDistribution, ContinuousDistribution> >(source, imputed);
// Check for existing imputed file
DataReader imputereader = new DataReader(imputesave);
uint kk = 0;
for (string[] row = imputereader.ReadRow(); row != null; row = imputereader.ReadRow())
{
kk++;
if (kk % 1000 == 0)
{
Console.WriteLine("#" + kk);
}
double meanv = double.Parse(row[1]), varv = double.Parse(row[2]), meana = double.Parse(row[3]), vara = double.Parse(row[4]), meand = double.Parse(row[5]), vard = double.Parse(row[6]);
ContinuousDistribution valence = new ClippedGaussianDistribution(meanv, varv, 0, 1);
ContinuousDistribution arousal = new ClippedGaussianDistribution(meana, vara, 0, 1);
ContinuousDistribution dominance = new ClippedGaussianDistribution(meand, vard, 0, 1);
imputed[row[0]] = new ThreeTuple <ContinuousDistribution, ContinuousDistribution, ContinuousDistribution>(valence, arousal, dominance);
}
imputereader.Close();
for (uint ii = 0; ii < repeats; ii++)
{
Dictionary <string, List <KeyValuePair <double, double> > >
sentencesV = new Dictionary <string, List <KeyValuePair <double, double> > >(),
sentencesA = new Dictionary <string, List <KeyValuePair <double, double> > >(),
sentencesD = new Dictionary <string, List <KeyValuePair <double, double> > >();
DataReader reader = new DataReader(filename);
uint jj = 0;
for (string[] row = reader.ReadRow(); row != null; row = reader.ReadRow())
{
jj++;
if (jj % 1000 == 0)
{
Console.WriteLine("#" + jj + ": " + sentencesV.Count + ", " + imputed.Count);
}
List <string> words = TwitterUtilities.SplitWords(row[column].ToLower());
AnalyzeWords(words, combo, sentencesV, sentencesA, sentencesD);
}
reader.Close();
AnalyzeSentences(imputed, sentencesV, sentencesA, sentencesD, imputesave);
}
source = combo;
return(imputed);
}
