updated relaese notes for changes between jan10 and jan27

Author: jyaistMap

guide/02-api-overview/release-notes.ipynb

@@ -78,6 +78,7 @@
    "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",
@@ -97,7 +98,8 @@
     " * [`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"
    ]
   },
   {
@@ -178,11 +180,13 @@
     "* 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 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"
    ]
   },
   {