1 <html><body> 2 <style> 3 4 body, h1, h2, h3, div, span, p, pre, a { 5 margin: 0; 6 padding: 0; 7 border: 0; 8 font-weight: inherit; 9 font-style: inherit; 10 font-size: 100%; 11 font-family: inherit; 12 vertical-align: baseline; 13 } 14 15 body { 16 font-size: 13px; 17 padding: 1em; 18 } 19 20 h1 { 21 font-size: 26px; 22 margin-bottom: 1em; 23 } 24 25 h2 { 26 font-size: 24px; 27 margin-bottom: 1em; 28 } 29 30 h3 { 31 font-size: 20px; 32 margin-bottom: 1em; 33 margin-top: 1em; 34 } 35 36 pre, code { 37 line-height: 1.5; 38 font-family: Monaco, 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', 'Lucida Console', monospace; 39 } 40 41 pre { 42 margin-top: 0.5em; 43 } 44 45 h1, h2, h3, p { 46 font-family: Arial, sans serif; 47 } 48 49 h1, h2, h3 { 50 border-bottom: solid #CCC 1px; 51 } 52 53 .toc_element { 54 margin-top: 0.5em; 55 } 56 57 .firstline { 58 margin-left: 2 em; 59 } 60 61 .method { 62 margin-top: 1em; 63 border: solid 1px #CCC; 64 padding: 1em; 65 background: #EEE; 66 } 67 68 .details { 69 font-weight: bold; 70 font-size: 14px; 71 } 72 73 </style> 74 75 <h1><a href="prediction_v1_2.html">Prediction API</a></h1> 76 <h2>Instance Methods</h2> 77 <p class="toc_element"> 78 <code><a href="prediction_v1_2.hostedmodels.html">hostedmodels()</a></code> 79 </p> 80 <p class="firstline">Returns the hostedmodels Resource.</p> 81 82 <p class="toc_element"> 83 <code><a href="prediction_v1_2.training.html">training()</a></code> 84 </p> 85 <p class="firstline">Returns the training Resource.</p> 86 87 <p class="toc_element"> 88 <code><a href="#new_batch_http_request">new_batch_http_request()</a></code></p> 89 <p class="firstline">Create a BatchHttpRequest object based on the discovery document.</p> 90 <p class="toc_element"> 91 <code><a href="#predict">predict(data, body)</a></code></p> 92 <p class="firstline">Submit data and request a prediction</p> 93 <h3>Method Details</h3> 94 <div class="method"> 95 <code class="details" id="new_batch_http_request">new_batch_http_request()</code> 96 <pre>Create a BatchHttpRequest object based on the discovery document. 97 98 Args: 99 callback: callable, A callback to be called for each response, of the 100 form callback(id, response, exception). The first parameter is the 101 request id, and the second is the deserialized response object. The 102 third is an apiclient.errors.HttpError exception object if an HTTP 103 error occurred while processing the request, or None if no error 104 occurred. 105 106 Returns: 107 A BatchHttpRequest object based on the discovery document. 108 </pre> 109 </div> 110 111 <div class="method"> 112 <code class="details" id="predict">predict(data, body)</code> 113 <pre>Submit data and request a prediction 114 115 Args: 116 data: string, mybucket%2Fmydata resource in Google Storage (required) 117 body: object, The request body. (required) 118 The object takes the form of: 119 120 { 121 "input": { 122 "csvInstance": [ 123 "", 124 ], 125 }, 126 } 127 128 129 Returns: 130 An object of the form: 131 132 { 133 "kind": "prediction#output", 134 "outputLabel": "A String", 135 "id": "A String", 136 "outputMulti": [ 137 { 138 "score": 3.14, 139 "label": "A String", 140 }, 141 ], 142 "outputValue": 3.14, 143 "selfLink": "A String", 144 }</pre> 145 </div> 146 147 </body></html>