updated relaese notes for changes between jan10 and jan27
"cell_type": "markdown",
"metadata": {},
"source": [
+ "* Adds support for multiple GPU machines to `learn` module\n",
"* Adds the [`DeepLabV3`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#deeplab) model based on [`torchvision`](https://pytorch.org/docs/stable/torchvision/index.html)\n",
" * includes multispectral data support\n",
"* Enhancements to Multispectral data support: \n",
" * [`MaskRCNN`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#maskrcnn)\n",
"* Adds support for `resnet18` and `resnet34` backbones to [`MaskRCNN`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#maskrcnn)\n",
"* Adds support for `batchnorm` unfreezing in * [`PSPNetClassifier`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#pspnetclassifier)\n",
- "* Adds support for panchromatic data"
+ "* Adds support for panchromatic data\n",
+ "* Adds validation to `class_mapping` parameter for [`prepare_data()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#prepare-data) function"
]
},
{
"* Improves [`predict()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.FeatureClassifier.predict) and [`from_model()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.FeatureClassifier.from_model) documentation on the [`FeatureClassifier`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#featureclassifier)\n",
"* Fixes [`show_batch()`] errors on data objects when [`class_mapping` ](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.prepare_data) parameter values from `prepare_data()`are non-contiguous\n",
"* Fixes errors with `show_results()` and `fit()` methods of [`EntityRecognizer`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#entityrecognizer)\n",
- "* Fixes error when [`prepare_data()`] `dataset_type` argument values is `BILUO`\n",
+ "* Fixes error when `prepare_data()` `dataset_type` argument value is `BILUO`\n",
"* Fixes [`extract_entities()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html?highlight=predict_video#arcgis.learn.EntityRecognizer.extract_entities) error when reading `UTF-16` encoded files\n",
"* Fixes to `load()` function for input paths\n",
+ "* Fixes error reading file names in [`EntityRecognizer.load()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.EntityRecognizer.load)\n",
"* Fixes error causing `accuracy()` to always return 1 with certain `class_mapping` values when using [`UnetClassifier`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#unetclassifier)\n",
- "* Fixes error where color map values were truncated using [`MaskRCNN`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#maskrcnn)"
+ "* Fixes error where color map values were truncated using [`MaskRCNN`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#maskrcnn)\n",
+ "* Fixes error in [`SingleShotDetector.save()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.SingleShotDetector.save) method by adding optional `overwrite` parameter"
]
},
{
