|
238 | 238 | " * *update_transpose* \n", |
239 | 239 | "\n", |
240 | 240 | "#### [`arcgis.raster.functions.RFT`](/python/latest/api-reference/arcgis.raster.functions.RFT.html)\n", |
241 | | - "* Adds support for new format when using local functions\n", |
| 241 | + "* Adds support for new *RFT* format for local functions\n", |
242 | 242 | " \n", |
243 | 243 | "#### [`arcgis.geoenrichment`](/python/api-reference/arcgis.geoenrichment.html)\n", |
244 | 244 | "* [`Country`](/python/api-reference/arcgis.geoenrichment.html#country)\n", |
|
307 | 307 | " * Updates *dataset_type* documentation to indicate argument no longer required for data used with *WNet_cGAN* models \n", |
308 | 308 | "* [Automated Machine Learning](/python/api-reference/arcgis.learn.toc.html#automated-machine-learning)\n", |
309 | 309 | " * [`AutoDL`](/python/api-reference/arcgis.learn.toc.html#autodl)\n", |
310 | | - " * 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", |
| 310 | + " * Adds *mean intersection over union* as the accuracy metric for evaluating the best performing model for pixel classification\n", |
311 | 311 | "* [Object Classification Models](/python/api-reference/arcgis.learn.toc.html#object-classification-models)\n", |
312 | 312 | " * [`FeatureClassifier`](/python/api-reference/arcgis.learn.toc.html#featureclassifier)\n", |
313 | | - " * Adds support for clay backbones with vision transformer detection for improved performance\n", |
314 | | - " * Adds support for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data\n", |
| 313 | + " * Adds support for clay and dofa backbones for vision tasks such as object classification, detection, or pixel classification\n", |
| 314 | + " * Adds support for GRAD-CAM for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data\n", |
315 | 315 | "* [Object Detection Models](/python/api-reference/arcgis.learn.toc.html#object-detection-models)\n", |
316 | 316 | " * Adds support for clay backbones with vision transformer detection for improved performance to *FasterRCNN*, *MaskRCNN*, *SingleShotDetector*, *HEDEdgeDetector* and *DeepLab* models \n", |
317 | 317 | " * [`RetinaNet`](/python/api-reference/arcgis.learn.toc.html#retinanet)\n", |
|
334 | 334 | " * Adds support for the *TimeMoE* architecture \n", |
335 | 335 | "* [Inferencing Methods](/python/api-reference/arcgis.learn.toc.html#inferencing-methods)\n", |
336 | 336 | " * [`classify_objects`](/python/api-reference/arcgis.learn.toc.html#classify-objects)\n", |
337 | | - " * Adds support for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data \n", |
| 337 | + " * Adds support to enable explainability map for multi-label *RGB* and *Multispectral*, as well as single-label *Multispectral* data \n", |
338 | 338 | " * [`Embeddings`](/python/api-reference/arcgis.learn.toc.html#embeddings)\n", |
339 | 339 | " * Adds support for encoding location attribute \n", |
340 | 340 | "* [Model Management](/python/api-reference/arcgis.learn.toc.html#model-management)\n", |
|
708 | 708 | " * [`get_dict()`](https://next.gha.afd.arcgis.com/python/latest/api-reference/arcgis.learn.toc.html#arcgis.learn.AIServiceConnection.get_dict)\n", |
709 | 709 | " * Fixes failure because of mishandling object initialized with empty *secret* parameters" |
710 | 710 | ] |
| 711 | + }, |
| 712 | + { |
| 713 | + "cell_type": "code", |
| 714 | + "execution_count": null, |
| 715 | + "id": "78a00562-86ee-4207-88cc-19ae868824b3", |
| 716 | + "metadata": {}, |
| 717 | + "outputs": [], |
| 718 | + "source": [] |
711 | 719 | } |
712 | 720 | ], |
713 | 721 | "metadata": { |
|
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