Algorithmia Demo
 {
for (var _len = arguments.length, macroArgs = new Array(_len), _key = 0; _key < _len; _key++) {
macroArgs[_key] = arguments[_key];
}
var argCount = numArgs(macroArgs);
var args;
var kwargs = getKeywordArgs(macroArgs);
if (argCount > argNames.length) {
args = macroArgs.slice(0, argNames.length); // Positional arguments that should be passed in as
// keyword arguments (essentially default values)
macroArgs.slice(args.length, argCount).forEach(function (val, i) {
if (i < kwargNames.length) {
kwargs[kwargNames[i]] = val;
}
});
args.push(kwargs);
} else if (argCount < argNames.length) {
args = macroArgs.slice(0, argCount);
for (var i = argCount; i < argNames.length; i++) {
var arg = argNames[i]; // Keyword arguments that should be passed as
// positional arguments, i.e. the caller explicitly
// used the name of a positional arg
args.push(kwargs[arg]);
delete kwargs[arg];
}
args.push(kwargs);
} else {
args = macroArgs;
}
return func.apply(_this, args);
}){kind=icon}
Sample queries using Algorithmia’s machine learning APIs.
A few sample queries that use the Algorithmia connector for Transposit.
HelloWorld: The starter Algorithmia algorithm that comes with every new user.
SentimentAnalysis: A basic algorithm that uses NLP to analyze a message's sentiment.
SentimentAnalysis on GitHub Repo: An operation that uses the previous NLP algorithm to analyze and sort a GitHub Repository's commits by sentiment value.
Learn more at https://algorithmia.com/developers/integrations/transposit!