[docs] remove tags from use cases (ray-project#32939)

We agreed that our "Use Cases" are not really an example gallery, but rather a way to communicate common use cases with explanations and a couple of examples sprinkled in. That also means the "filter by category" system doesn't make sense anymore for this page, so we remove it here.

Note that we should soon follow this up by reinstantiating a proper example gallery instead.

Signed-off-by: Max Pumperla <max.pumperla@googlemail.com>

Author: maxpumperla

doc/source/conf.py

@@ -332,55 +332,6 @@ def filter_out_undoc_class_members(member_name, class_name, module_name):
 }
 
 tag_mapping = {
-    # Tags for use-cases gallery
-    "scalableBatchInference": "PyTorch,Image Segmentation,Prediction",
-    "batchActorPool": "Prediction",
-    "batchCore": "Prediction",
-    "nycTaxiData": "Prediction",
-    "batchOcr": "Preprocessing",
-    "millionModels": "Regression,Training,Sklearn",
-    "batchTrainingCore": "Regression,Training,Sklearn",
-    "batchTrainingDatasets": "Regression,Training,Sklearn",
-    "tuneBasicParallel": "Regression,Training,Sklearn",
-    "tuneBatch": "Regression,Training,Tuning,Sklearn",
-    "instacartFulfillment": "Training,Prediction",
-    "productionizingMLServe": "Serving",
-    "simplifyMLOpsServe": "Serving",
-    "gettingStartedServe": "Serving",
-    "compositionServe": "Serving",
-    "examplesServe": "Serving",
-    "useCasesServe": "Serving",
-    "gettingStartedTune": "Tuning",
-    "distributeHPOTune": "Tuning",
-    "simpleDistributedHPO": "Tuning",
-    "HPOTransformers": "Tuning,PyTorch,Classification",
-    "examplesTune": "Tuning",
-    "useCasesTune": "Tuning",
-    "pyTorchTrain": "Training,PyTorch",
-    "xgboostTrain": "Training,XGBoost",
-    "gettingStartedTrain": "Training",
-    "trainingTransformers": "Training,PyTorch,Classification,Prediction",
-    "examplesTrain": "Training",
-    "useCasesTrain": "Training",
-    "appliedRLCourse": "Reinforcement Learning",
-    "introRLlib": "Reinforcement Learning",
-    "gettingStartedRLlib": "Reinforcement Learning",
-    "riotRL": "Reinforcement Learning",
-    "examplesRL": "Reinforcement Learning",
-    "useCasesRL": "Reinforcement Learning",
-    "merlin": "Preprocessing,Training,Prediction",
-    "uberScaleDL": "Preprocessing,Training,Prediction,Tuning,XGBoost,"
-    "TensorFlow,PyTorch",
-    "instacartMLPlatformTripled": "Preprocessing,Prediction,Training,Tuning",
-    "predibase": "Preprocessing,Training,Prediction,Tuning,PyTorch",
-    "GKEMLPlatform": "Preprocessing,Training,Prediction,Tuning,TensorFlow,Serving",
-    "summitMLPlatform": "Preprocessing,Prediction,Training,Tuning,Serving",
-    "torchImageExample": "Preprocessing,Prediction,Training,PyTorch,Classification",
-    "feastExample": "Classification,XGBoost,Training,Preprocessing,Prediction",
-    "xgboostExample": "Classification,XGBoost,Training,Preprocessing,Prediction",
-    "timeSeriesAutoML": "Regression,Sklearn,Tuning",
-    "AIRExamples": "Regression,Classification,Training,Tuning,Prediction,"
-    "Preprocessing,Serving,PyTorch,TensorFlow,XGBoost,LightGBM,Sklearn",
     # Tags for Ray Train examples gallery
     "trainTorchFashionMnist": "PyTorch,Training",
     "trainTransformers": "PyTorch,Training,HuggingFace",

doc/source/ray-overview/use-cases.rst

@@ -5,39 +5,6 @@ Ray Use Cases
 
 This page indexes common Ray use cases for scaling ML. It contains highlighted references to blogs, examples, and tutorials also located elsewhere in the Ray documentation.
 
-You can filter our use cases by the framework you are using, the use case category,
-and the type of workload you are running.
-You can select (and deselect) multiple values:
-
-.. raw:: html
-
-    <!--Deselect all-->
-    <div>
-        <div id="allButton" type="button" class="tag btn btn-primary">All</div>
-
-        <!--Frameworks-->
-        <div type="button" class="tag btn btn-outline-primary">PyTorch</div>
-        <div type="button" class="tag btn btn-outline-primary">TensorFlow</div>
-        <div type="button" class="tag btn btn-outline-primary">XGBoost</div>
-        <div type="button" class="tag btn btn-outline-primary">LightGBM</div>
-        <div type="button" class="tag btn btn-outline-primary">Sklearn</div>
-
-        <!--Domains-->
-        <div type="button" class="tag btn btn-outline-primary">Classification</div>
-        <div type="button" class="tag btn btn-outline-primary">Regression</div>
-        <div type="button" class="tag btn btn-outline-primary">Object Detection</div>
-        <div type="button" class="tag btn btn-outline-primary">Image Segmentation</div>
-        <div type="button" class="tag btn btn-outline-primary">Reinforcement Learning</div>
-
-        <!--Components-->
-        <div type="button" class="tag btn btn-outline-primary">Preprocessing</div>
-        <div type="button" class="tag btn btn-outline-primary">Training</div>
-        <div type="button" class="tag btn btn-outline-primary">Tuning</div>
-        <div type="button" class="tag btn btn-outline-primary">Prediction</div>
-        <div type="button" class="tag btn btn-outline-primary">Serving</div>
-    </div>
-
-
 Batch Inference
 ---------------