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bigml-nodered

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BigML bindings for Nodered

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<style> .bigml_node_label { fill: white; } #palette-BigML .palette_node { color: white; } #red-ui-palette-BigML .red-ui-palette-label { color: white; } </style> <script type="text/javascript"> RED.nodes.registerType('dataset-split', { category: 'BigML', color: '#454957', defaults: {"name":{"value":"Dataset Split","required":true},"rate":{"value":0.8},"first_split":{"value":""},"second_split":{"value":""},"reify":{"value":false}}, inputs:1, outputs:1, inputLabels: 'dataset', outputLabels: '[dataset,test-dataset]', icon: 'icon_generic.png', label: function() { return this.name || 'Dataset Split'; }, labelStyle: function() { return this.name?"bigml_node_label":""; }, }); </script> <script type="text/x-red" data-template-name="dataset-split"> <div class="form-row"> <label for="node-input-name"> <i class="icon-tag"></i> Name </label> <input type=text id=node-input-name value='Dataset Split'> </div> <div class="form-row"> <label for="node-input-rate"> <i class="icon-tag"></i> Rate </label> <input type=number step=any id=node-input-rate value='0.8'> </div> <div class="form-row"> <label for="node-input-first_split"> <i class="icon-tag"></i> First split </label> <input type=text id=node-input-first_split placeholder='First split name' > </div> <div class="form-row"> <label for="node-input-second_split"> <i class="icon-tag"></i> Second split </label> <input type=text id=node-input-second_split placeholder='Second split name' > </div> <div class="form-row"> <label for="node-input-reify"> <i class="icon-tag"></i> Reify </label> <input type=checkbox id=node-input-reify value='false'> </div> </script> <script type="text/html" data-help-name="dataset-split"> <p>This is a BigML Nodered node.</p> <h3>Details</h3> <p>This node support all inputs defined in <a href='https://bigml.com/api/dataset-splits' target=blank>BigML REST API</a>. By default, it expects to receive a <code>dataset</code> input (see below for more details) and it will output the <code>[dataset,test-dataset]</code> field of the created resource. </p> <p>However, you can override default inputs and outputs by defining the node port label so they match the desired input or output as specified below.</p> <p>Only when the node is used with the <code>reify</code> option enabled, it will actually hit BigML and do its work there. This generally means some resources will be created and sent through as node outputs.</p> <p>When the node is used with the <code>reify</code>option disabled, it will generate WhizzML code and send it through to the next node in the flow without hitting BigML. All WhizzML code created by this node (and others) when not in <code>reify</code> mode is accumulated and executed as a single WhizzML script by the first downstream <code>reified</code> node.</p> <h3>Inputs</h3> <dl class="message-properties"> <dt>Name <span class="property-type">:text</span> </dt> <dd></dd> <dt>Rate <span class="property-type">:float</span> </dt> <dd></dd> <dt>First split <span class="property-type">:text</span> </dt> <dd></dd> <dt>Second split <span class="property-type">:text</span> </dt> <dd></dd> <dt>Reify <span class="property-type">:boolean</span> </dt> <dd></dd> </dl> <h3>Outputs</h3> <ol class="node-ports"> <dl class="message-properties"> <dt>payload <span class="property-type">string or JSON</span></dt> <dd>the <code>[dataset,test-dataset]</code> of the created BigML entity.</dd> <dt>whizzml <span class="property-type">string</dt> <dd>(only for <code>reified</code> nodes) the generated WhizzML code which is fed into the next node. <dt>wzStack <span class="property-type">object</dt> <dd>(only for <code>reified</code> nodes) private. </dl> </ol> </script>