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updates to phrasing for RFT and learn notes
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guide/02-api-overview/release_notes_242.ipynb

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" * *update_transpose* \n",
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"\n",
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"#### [`arcgis.raster.functions.RFT`](/python/latest/api-reference/arcgis.raster.functions.RFT.html)\n",
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"* Adds support for new format when using local functions\n",
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"* Adds support for new *RFT* format for local functions\n",
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" \n",
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"#### [`arcgis.geoenrichment`](/python/api-reference/arcgis.geoenrichment.html)\n",
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"* [`Country`](/python/api-reference/arcgis.geoenrichment.html#country)\n",
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" * Updates *dataset_type* documentation to indicate argument no longer required for data used with *WNet_cGAN* models \n",
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"* [Automated Machine Learning](/python/api-reference/arcgis.learn.toc.html#automated-machine-learning)\n",
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" * [`AutoDL`](/python/api-reference/arcgis.learn.toc.html#autodl)\n",
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" * Adds *mean intersection over union* as the accuracy metric for [`report()`](/python/latest/api-reference/arcgis.learn.toc.html#arcgis.learn.AutoDL.report) and [`score()`](/python/latest/api-reference/arcgis.learn.toc.html#arcgis.learn.AutoDL.score) where applicable\n",
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" * Adds *mean intersection over union* as the accuracy metric for evaluating the best performing model for pixel classification\n",
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"* [Object Classification Models](/python/api-reference/arcgis.learn.toc.html#object-classification-models)\n",
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" * [`FeatureClassifier`](/python/api-reference/arcgis.learn.toc.html#featureclassifier)\n",
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" * Adds support for clay backbones with vision transformer detection for improved performance\n",
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" * Adds support for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data\n",
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" * Adds support for clay and dofa backbones for vision tasks such as object classification, detection, or pixel classification\n",
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" * Adds support for GRAD-CAM for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data\n",
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"* [Object Detection Models](/python/api-reference/arcgis.learn.toc.html#object-detection-models)\n",
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" * Adds support for clay backbones with vision transformer detection for improved performance to *FasterRCNN*, *MaskRCNN*, *SingleShotDetector*, *HEDEdgeDetector* and *DeepLab* models \n",
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" * [`RetinaNet`](/python/api-reference/arcgis.learn.toc.html#retinanet)\n",
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" * Adds support for the *TimeMoE* architecture \n",
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"* [Inferencing Methods](/python/api-reference/arcgis.learn.toc.html#inferencing-methods)\n",
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" * [`classify_objects`](/python/api-reference/arcgis.learn.toc.html#classify-objects)\n",
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" * Adds support for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data \n",
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" * Adds support to enable explainability map for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data \n",
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" * [`Embeddings`](/python/api-reference/arcgis.learn.toc.html#embeddings)\n",
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" * Adds support for encoding location attribute \n",
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"* [Model Management](/python/api-reference/arcgis.learn.toc.html#model-management)\n",
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" * [`get_dict()`](https://next.gha.afd.arcgis.com/python/latest/api-reference/arcgis.learn.toc.html#arcgis.learn.AIServiceConnection.get_dict)\n",
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" * Fixes failure because of mishandling object initialized with empty *secret* parameters"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "78a00562-86ee-4207-88cc-19ae868824b3",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {

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