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Testing BigML (bigml.io) modeling and predictions with JQuery
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| <!doctype html> | |
| <html lang="en"> | |
| <head> | |
| <meta charset="utf-8"> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> | |
| <title>BigML Prediction Test</title> | |
| <meta name="description" content=""> | |
| <meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1"> | |
| <script src="https://code.jquery.com/jquery-1.7.1.js" type="text/javascript"></script> | |
| <style type="text/css"> | |
| body { | |
| font-family: helvetica, arial; | |
| padding: 15px; | |
| box-sizing: border-box; | |
| } | |
| div { | |
| margin-top: 10px; | |
| line-height: 18px; | |
| font-family: helvetica; | |
| font-size: 14px; | |
| font-weight: 300; | |
| color: #768b96; | |
| } | |
| ul li { | |
| color: #54636b; | |
| } | |
| ul li strong{ | |
| font-weight: 600; | |
| color: #167caf; | |
| } | |
| </style> | |
| </head> | |
| <body> | |
| <div id="model">Training model...</div> | |
| <div id="prediction"></div> | |
| <div id="sunburst"></div> | |
| <script type="text/javascript"> | |
| jQuery(document).ready(function() { | |
| var BASE_API_HOST = "https://tropo.dev.bigml.io/", | |
| BASE_EMBEDDED_URL = "https://tropo.dev.bigml.com/embedded/", | |
| CREDENTIALS = "username=roviratropo&api_key=3cf1c2a417e107f5dd74b55d498d66234b6b6b96"; | |
| function createPrediction(modelResource) { | |
| $('#prediction').html('[ ' + modelResource + ' ] is predicting ...') | |
| var data = { | |
| model: modelResource, | |
| input_data: { | |
| "000003": 0.79 | |
| } | |
| }; | |
| jQuery.ajax({ | |
| url: BASE_API_HOST + "prediction?" + CREDENTIALS, | |
| type: "POST", | |
| contentType: "application/json", | |
| dataType: "json", | |
| data: JSON.stringify(data), | |
| success: function(prediction) { | |
| console.log(prediction); | |
| $('#prediction').html( | |
| "Prediction: [ " + prediction.resource + " ]" + | |
| "<ul>" + | |
| "<li>Output: <strong>" + prediction.output + "</strong></li>" + | |
| "<li>Confidence: <strong>" + prediction.confidence + "</strong></li>" + | |
| "</ul>" | |
| ); | |
| }, | |
| error: function(error) { | |
| console.log(error); | |
| $('#prediction').html("Error creating prediction"); | |
| } | |
| }); | |
| } | |
| function pollModel(modelResource) { | |
| var url = BASE_API_HOST + | |
| modelResource + "?" + CREDENTIALS; | |
| jQuery.ajax({ | |
| url: url, | |
| type: "GET", | |
| contentType: "application/json", | |
| dataType: "json", | |
| success: function(response) { | |
| console.log(response); | |
| processModelResponse(response); | |
| }, | |
| error: function(error) { | |
| console.log(error); | |
| $('#model').html("Error retrieving the model"); | |
| } | |
| }); | |
| } | |
| function shareModel(modelResource) { | |
| $('#sunburst').html('Sharing model ' + modelResource); | |
| var data = { | |
| 'shared': true | |
| }, | |
| url = BASE_API_HOST + modelResource + "?" + CREDENTIALS, | |
| $iframe = $('<iframe frameborder="0" allowtransparency="true" ' + | |
| 'allowfullscreen="allowfullscreen" width="600" height="400"></iframe>' | |
| ), | |
| embedURL = BASE_EMBEDDED_URL + "model/"; | |
| jQuery.ajax({ | |
| url: url, | |
| type: "PUT", | |
| contentType: "application/json", | |
| dataType: "json", | |
| data: JSON.stringify(data), | |
| success: function(response) { | |
| console.log(response); | |
| if (response.code == 202 && | |
| 'shared_hash' in response && | |
| response.shared_hash.length) { | |
| embedURL += response.shared_hash; | |
| $iframe.attr('src', embedURL); | |
| $('#sunburst').html($iframe); | |
| } else { | |
| $('#sunburst').html("Error sharing the model"); | |
| } | |
| }, | |
| error: function(error) { | |
| console.log(error); | |
| $('#sunburst').html("Error sharing the model"); | |
| } | |
| }); | |
| } | |
| function processModelResponse(response) { | |
| var timeout; | |
| switch(response.status.code) { | |
| case -1: | |
| //FAULTY | |
| $('#model').html("Error training the model"); | |
| break; | |
| case 5: | |
| //FINISHED | |
| if (typeof timeout !== 'undefined') { | |
| clearTimeout(timeout); | |
| } | |
| $('#model').html( | |
| "[ " + response.resource + " ] " + | |
| response.status.message + | |
| ' in ' + response.status.elapsed + " ms" | |
| ); | |
| shareModel(response.resource); | |
| createPrediction(response.resource); | |
| break; | |
| default: | |
| //UNKNOWN, RUNNABLE, QUEUED, STARTED, IN_PROGRESS, SUMMARIZED | |
| $('#model').html( | |
| "Training model ...[ " + response.resource + " ]<br/>" + | |
| response.status.message | |
| ); | |
| timeout = setTimeout(function() { | |
| pollModel(response.resource) | |
| }, 3000); | |
| break; | |
| } | |
| } | |
| var data = { | |
| dataset: "dataset/572aa029b95b39287a000997", | |
| name: "Iris dataset model" | |
| }; | |
| jQuery.ajax({ | |
| url: BASE_API_HOST + "model?" + CREDENTIALS, | |
| type: "POST", | |
| contentType: "application/json", | |
| dataType: "json", | |
| data: JSON.stringify(data), | |
| success: function(response) { | |
| console.log(response); | |
| processModelResponse(response); | |
| }, | |
| error: function(error) { | |
| console.log(error); | |
| $('#model').html(error.statusText); | |
| } | |
| }); | |
| }); | |
| </script> | |
| </body> | |
| </html> |
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