page_type: reference description: A dense feature vector.

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tflite_support.task.processor.FeatureVector

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A dense feature vector.

<pre class="devsite-click-to-copy prettyprint lang-py tfo-signature-link"> <code>tflite_support.task.processor.FeatureVector( value: np.ndarray ) </code></pre> <!-- Placeholder for "Used in" -->

Only one of the two fields is ever present. Feature vectors are assumed to be one-dimensional and L2-normalized.

<!-- Tabular view --> <table class="responsive fixed orange"> <colgroup><col width="214px"><col></colgroup> <tr><th colspan="2"><h2 class="add-link">Attributes</h2></th></tr> <tr> <td> `value`<a id="value"></a> </td> <td> A NumPy array indidcating the raw output of the embedding layer. The datatype of elements in the array can be either float or uint8 if `quantize` is set to True in `EmbeddingOptions`. </td> </tr> </table>

Methods

<h3 id="__eq__"><code>__eq__</code></h3>

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<pre class="devsite-click-to-copy prettyprint lang-py tfo-signature-link"> <code>__eq__( other: Any ) -> bool </code></pre>

Checks if this object is equal to the given object.

<!-- Tabular view --> <table class="responsive fixed orange"> <colgroup><col width="214px"><col></colgroup> <tr><th colspan="2">Args</th></tr> <tr> <td> `other` </td> <td> The object to be compared with. </td> </tr> </table> <!-- Tabular view --> <table class="responsive fixed orange"> <colgroup><col width="214px"><col></colgroup> <tr><th colspan="2">Returns</th></tr> <tr class="alt"> <td colspan="2"> True if the objects are equal. </td> </tr> </table>