StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
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19 lines
938 B
19 lines
938 B
var fix = require("./fix.js");
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var session = fix.createClient("FIX.4.2", "initiator", "acceptor", 1234, "localhost");
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session.connectAndLogon(1234,'localhost');
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/*session.getMessages(function(err, msg){
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if(err){
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console.log('Err from data store: '+err);
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}
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else{
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console.log('Msg from data store: '+JSON.stringify(msg));
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}
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});*/
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session.on("connect", function(){ console.log("EVENT connect"); });
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session.on("end", function(){ console.log("EVENT end"); });
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session.on("logon", function(sender, target){ console.log("EVENT logon: "+ sender + ", " + target); });
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session.on("logoff", function(sender, target){ console.log("EVENT logoff: "+ sender + ", " + target); });
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session.on("incomingmsg", function(sender,target,msg){ console.log("EVENT incomingmsg: "+ JSON.stringify(msg)); });
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session.on("outgoingmsg", function(sender,target,msg){ console.log("EVENT outgoingmsg: "+ JSON.stringify(msg)); });
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