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147 lines
3.0 KiB
147 lines
3.0 KiB
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<h1><a href="prediction_v1_2.html">Prediction API</a></h1>
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<h2>Instance Methods</h2>
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<p class="toc_element">
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<code><a href="prediction_v1_2.hostedmodels.html">hostedmodels()</a></code>
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</p>
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<p class="firstline">Returns the hostedmodels Resource.</p>
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<p class="toc_element">
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<code><a href="prediction_v1_2.training.html">training()</a></code>
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</p>
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<p class="firstline">Returns the training Resource.</p>
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<p class="toc_element">
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<code><a href="#new_batch_http_request">new_batch_http_request()</a></code></p>
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<p class="firstline">Create a BatchHttpRequest object based on the discovery document.</p>
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<p class="toc_element">
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<code><a href="#predict">predict(data, body)</a></code></p>
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<p class="firstline">Submit data and request a prediction</p>
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<h3>Method Details</h3>
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<div class="method">
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<code class="details" id="new_batch_http_request">new_batch_http_request()</code>
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<pre>Create a BatchHttpRequest object based on the discovery document.
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Args:
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callback: callable, A callback to be called for each response, of the
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form callback(id, response, exception). The first parameter is the
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request id, and the second is the deserialized response object. The
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third is an apiclient.errors.HttpError exception object if an HTTP
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error occurred while processing the request, or None if no error
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occurred.
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Returns:
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A BatchHttpRequest object based on the discovery document.
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</pre>
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</div>
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<div class="method">
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<code class="details" id="predict">predict(data, body)</code>
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<pre>Submit data and request a prediction
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Args:
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data: string, mybucket%2Fmydata resource in Google Storage (required)
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body: object, The request body. (required)
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The object takes the form of:
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{
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"input": {
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"csvInstance": [
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"",
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],
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},
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}
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Returns:
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An object of the form:
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{
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"kind": "prediction#output",
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"outputLabel": "A String",
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"id": "A String",
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"outputMulti": [
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{
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"score": 3.14,
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"label": "A String",
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},
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],
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"outputValue": 3.14,
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"selfLink": "A String",
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}</pre>
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</div>
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</body></html> |