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javascript: (function() { | |
var host = location.host; | |
var params = location.href.substr(location.href.indexOf("tei"), location.href.length); | |
var win = window.open("http://" + host + "/api/apps/tracker-charts/index.html#/trackerEndPoint?" + params, "", "width=800,height=600"); | |
win.focus(); | |
}()); |
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{ | |
"version": "0.0.2", | |
"name": "Longitudinal Charts", | |
"description": "Responsive Web application for easy visualization of longitudinal data", | |
"icons": { | |
"16": "/img/icons/chart-36.png", | |
"48": "/img/icons/chart-48.png", | |
"128": "/img/icons/chart-192.png" | |
}, | |
"developer": { |
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import java.io.*; | |
import java.util.ArrayList; | |
import java.util.List; | |
/** | |
* @author Chathura Widanage | |
*/ | |
public class GenerateR { | |
public static void main(String[] args) throws IOException { | |
String pathToTrainCSV = "F:\\\\engineering\\\\Semester 7_8\\\\ML\\\\keggle\\\\train.csv";//4 backward slashes required |
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library(data.table) | |
print('Reading data') | |
train <-fread('F:\\engineering\\Semester 7_8\\ML\\keggle\\train.csv',select = c('Cliente_ID', 'Producto_ID', 'Agencia_ID', 'Ruta_SAK', 'Demanda_uni_equil','Canal_ID')) | |
mean_Can <- train[, .(mean_Can = mean(Demanda_uni_equil)), by = .(Canal_ID)] | |
train <- merge(train, mean_Can, all.x = TRUE, by = c("Canal_ID")) | |
print(paste(cor(train$Demanda_uni_equil,train$mean_Can,method="spearman")," -> Canal_ID")) | |
train$mean_Can <- NULL | |
mean_Can <- NULL | |
gc() | |
mean_Rut <- train[, .(mean_Rut = mean(Demanda_uni_equil)), by = .(Ruta_SAK)] |
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import java.util.*; | |
/** | |
* @author Chathura Widanage | |
*/ | |
public class SortR { | |
public static void main(String[] args) { | |
Scanner scanner=new Scanner(System.in); | |
String line; | |
Map<Float,String> mapping=new HashMap<>();//assuming there won't be any similar cor coefficients |
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package com.cwidanage.algo.ds; | |
import java.util.Arrays; | |
import java.util.Random; | |
/** | |
* @author Chathura Widanage | |
*/ | |
public class DataStructure { | |
public Object[] arrays = new Object[0]; |
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import org.apache.http.HttpResponse; | |
import org.apache.http.client.HttpClient; | |
import org.apache.http.client.methods.HttpDelete; | |
import org.apache.http.client.methods.HttpGet; | |
import org.apache.http.impl.client.HttpClientBuilder; | |
import java.io.IOException; | |
/** | |
* @author Chathura Widanage |
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import org.apache.http.HttpEntity; | |
import org.apache.http.HttpResponse; | |
import org.apache.http.client.HttpClient; | |
import org.apache.http.client.methods.HttpDelete; | |
import org.apache.http.client.methods.HttpGet; | |
import org.apache.http.impl.client.HttpClientBuilder; | |
import java.io.IOException; | |
import java.io.InputStream; |
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@RequestMapping( value = "/{id}", method = RequestMethod.DELETE ) | |
@PreAuthorize( "hasRole('ALL') or hasRole('F_TRACKED_ENTITY_INSTANCE_ADD')" ) | |
@ResponseStatus( HttpStatus.NO_CONTENT ) | |
public void deleteTrackedEntityInstance( @PathVariable String id ) throws WebMessageException | |
{ | |
if ( !instanceService.trackedEntityInstanceExists( id ) ) | |
{ | |
throw new WebMessageException( WebMessageUtils.notFound( "Tracked entity instance not found for ID " + id ) ); | |
} |
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@RequestMapping( value = "/{uid}", method = RequestMethod.DELETE ) | |
@PreAuthorize( "hasRole('ALL') or hasRole('F_TRACKED_ENTITY_DATAVALUE_DELETE')" ) | |
public void deleteEvent( HttpServletResponse response, HttpServletRequest request, | |
@PathVariable( "uid" ) String uid ) throws WebMessageException | |
{ | |
if ( !programStageInstanceService.programStageInstanceExists( uid ) ) | |
{ | |
throw new WebMessageException( WebMessageUtils.notFound( "Event not found for ID " + uid ) ); | |
} |
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