Fix macro

Author: aversey

docs/setup_installation/common/arrow_flight_duckdb.md

@@ -9,11 +9,11 @@ and batch inference data from the Feature Store, as well as creating moderately-
 
 When the service is enabled, clients will automatically use it for the following operations:
 
-- [reading Feature Groups](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#read)
-- [reading Queries](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/query_api/#read)
-- [reading Training Datasets](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#get_training_data)
-- [creating In-Memory Training Datasets](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#training_data)
-- [reading Batch Inference Data](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#get_batch_data)
+- [reading Feature Groups](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#read)
+- [reading Queries](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/query_api/#read)
+- [reading Training Datasets](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#get_training_data)
+- [creating In-Memory Training Datasets](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#training_data)
+- [reading Batch Inference Data](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#get_batch_data)
 
 For larger datasets, clients can still make use of the Spark/Hive backend by explicitly setting
 `read_options={"use_hive": True}`.

docs/user_guides/fs/compute_engines.md

@@ -21,16 +21,16 @@ Hopsworks is aiming to provide functional parity between the computational engin
 
 | Functionality                                                     | Method                                                                                                                                                                          | Spark              | Python             | Flink                  | Beam               | Java               | Comment                                                                                                                                                                                                                                                                                                    |
 | ----------------------------------------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------ | ------------------ | ---------------------- | ------------------ | ------------------ |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
-| Feature Group Creation from dataframes                            | [`FeatureGroup.create_feature_group()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#create_feature_group)            | :white_check_mark: | :white_check_mark: | -                      | -                  | -                  | Currently Flink/Beam/Java doesn't support registering feature group metadata.
+| Feature Group Creation from dataframes                            | [`FeatureGroup.create_feature_group()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#create_feature_group)            | :white_check_mark: | :white_check_mark: | -                      | -                  | -                  | Currently Flink/Beam/Java doesn't support registering feature group metadata.
 Thus it needs to be pre-registered before you can write real time features computed by Flink/Beam.                                                                                                                           |
-| Training Dataset Creation from dataframes                         | [`TrainingDataset.save()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/training_dataset_api/#save)                                     | :white_check_mark: | -                  | -                      | -                  | -                  | Functionality was deprecated in version 3.0                                                                                                                                                                                                                                                                |
-| Data validation using Great Expectations for streaming dataframes | [`FeatureGroup.validate()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#validate) <br/> [`FeatureGroup.insert_stream()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#insert_stream) | -                  | -                  | -                      | -                  | -                  | `insert_stream` does not perform any data validation even when a expectation suite is attached.                                                                                  |
-| Stream ingestion                                                  | [`FeatureGroup.insert_stream()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#insert_stream)                          | :white_check_mark: | -                  | :white_check_mark:     | :white_check_mark: | :white_check_mark: | Python/Pandas/Polars has currently no notion of streaming.                                                                                                                                                                                                                                                 |
-| Reading from Streaming Storage Connectors                         | [`KafkaConnector.read_stream()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/storage_connector_api/#read_stream)                        | :white_check_mark: | -                  | -                      | -                  | -                  | Python/Pandas/Polars has currently no notion of streaming.
+| Training Dataset Creation from dataframes                         | [`TrainingDataset.save()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/training_dataset_api/#save)                                     | :white_check_mark: | -                  | -                      | -                  | -                  | Functionality was deprecated in version 3.0                                                                                                                                                                                                                                                                |
+| Data validation using Great Expectations for streaming dataframes | [`FeatureGroup.validate()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#validate) <br/> [`FeatureGroup.insert_stream()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#insert_stream) | -                  | -                  | -                      | -                  | -                  | `insert_stream` does not perform any data validation even when a expectation suite is attached.                                                                                  |
+| Stream ingestion                                                  | [`FeatureGroup.insert_stream()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#insert_stream)                          | :white_check_mark: | -                  | :white_check_mark:     | :white_check_mark: | :white_check_mark: | Python/Pandas/Polars has currently no notion of streaming.                                                                                                                                                                                                                                                 |
+| Reading from Streaming Storage Connectors                         | [`KafkaConnector.read_stream()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/storage_connector_api/#read_stream)                        | :white_check_mark: | -                  | -                      | -                  | -                  | Python/Pandas/Polars has currently no notion of streaming.
 For Flink/Beam/Java only write operations are supported                                                                                                                                                                                         |
-| Reading training data from external storage other than S3         | [`FeatureView.get_training_data()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#get_training_data)                    | :white_check_mark: | -                  | -                      | -                  | -                  | Reading training data that was written to external storage using a Storage Connector other than S3 can currently not be read using HSFS APIs, instead you will have to use the storage's native client.                                                                                                    |
-| Reading External Feature Groups into Dataframe                    | [`ExternalFeatureGroup.read()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/external_feature_group_api/#read)                           | :white_check_mark: | -                  | -                      | -                  | -                  | Reading an External Feature Group directly into a Pandas/Polars Dataframe is not supported, however, you can use the [Query API](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/query_api/) to create Feature Views/Training Data containing External Feature Groups. |
-| Read Queries containing External Feature Groups into Dataframe    | [`Query.read()`](<https://docs.hopsworks.ai/feature-store-api/{{{> hopsworks_version }}}/generated/api/query_api/#read)                                                           | :white_check_mark: | -                  | -                      | -                  | -                  | Reading a Query containing an External Feature Group directly into a Pandas/Polars Dataframe is not supported, however, you can use the Query to create Feature Views/Training Data and write the data to a Storage Connector, from where you can read up the data into a Pandas/Polars Dataframe.         |
+| Reading training data from external storage other than S3         | [`FeatureView.get_training_data()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#get_training_data)                    | :white_check_mark: | -                  | -                      | -                  | -                  | Reading training data that was written to external storage using a Storage Connector other than S3 can currently not be read using HSFS APIs, instead you will have to use the storage's native client.                                                                                                    |
+| Reading External Feature Groups into Dataframe                    | [`ExternalFeatureGroup.read()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/external_feature_group_api/#read)                           | :white_check_mark: | -                  | -                      | -                  | -                  | Reading an External Feature Group directly into a Pandas/Polars Dataframe is not supported, however, you can use the [Query API](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/query_api/) to create Feature Views/Training Data containing External Feature Groups. |
+| Read Queries containing External Feature Groups into Dataframe    | [`Query.read()`](https://docs.hopsworks.ai/feature-store-api/{{{hopsworks_version}}}/generated/api/query_api/#read)                                                           | :white_check_mark: | -                  | -                      | -                  | -                  | Reading a Query containing an External Feature Group directly into a Pandas/Polars Dataframe is not supported, however, you can use the Query to create Feature Views/Training Data and write the data to a Storage Connector, from where you can read up the data into a Pandas/Polars Dataframe.         |
 
 ## Python
 

docs/user_guides/fs/data_source/usage.md

@@ -160,4 +160,4 @@ Read more about training data creation [here](../feature_view/training-data.md).
 ## Next Steps
 
 We have gone through the basic use cases of a data source.
-For more details about the API functionality for any specific connector type, checkout the [API section](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/storage_connector_api/#storage-connector).
+For more details about the API functionality for any specific connector type, checkout the [API section](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/storage_connector_api/#storage-connector).

docs/user_guides/fs/feature_group/create.md

@@ -39,7 +39,7 @@ Using the HSFS API you can execute:
     )
     ```
 
-The full method documentation is available [here](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#featuregroup).
+The full method documentation is available [here](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#featuregroup).
 If you need to create a feature group with vector similarity search supported, refer to [this guide](../vector_similarity_search.md#extending-feature-groups-with-similarity-search). `name` is the only mandatory parameter of the `create_feature_group` and represents the name of the feature group.
 
 In the example above we created the first version of a feature group named *weather*, we provide a description to make it searchable to the other project members, as well as making the feature group available online.
@@ -352,7 +352,7 @@ If a feature group is online enabled, the `insert` method will store the feature
 
 ### API Reference
 
-[FeatureGroup](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_group_api/#featuregroup)
+[FeatureGroup](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_group_api/#featuregroup)
 
 ## Create using the UI
 

docs/user_guides/fs/feature_group/create_external.md

@@ -77,7 +77,7 @@ Once you have defined the metadata, you can
     fg.save()
     ```
 
-The full method documentation is available [here](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/external_feature_group_api/#externalfeaturegroup). `name` is a mandatory parameter of the `create_external_feature_group` and represents the name of the feature group.
+The full method documentation is available [here](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/external_feature_group_api/#externalfeaturegroup). `name` is a mandatory parameter of the `create_external_feature_group` and represents the name of the feature group.
 
 The version number is optional, if you don't specify the version number the APIs will create a new version by default with a version number equals to the highest existing version number plus one.
 
@@ -125,18 +125,18 @@ For an external feature group to be available online, during the creation of the
     ```
 
 The `insert()` method takes a DataFrame as parameter and writes it _only_ to the online feature store.
-Users can select which subset of the feature group data they want to make available on the online feature store by using the [query APIs](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/query_api/).
+Users can select which subset of the feature group data they want to make available on the online feature store by using the [query APIs](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/query_api/).
 
 ### Limitations
 
 Hopsworks Feature Store does not support time-travel queries on external feature groups.
 
 Additionally, support for `.read()` and `.show()` methods when using by the Python engine is limited to external feature groups defined on BigQuery and Snowflake and only when using the [Feature Query Service](../../../setup_installation/common/arrow_flight_duckdb.md).
-Nevertheless, external feature groups defined top of any data source can be used to create a training dataset from a Python environment invoking one of the following methods: [create_training_data](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#create_training_data), [create_train_test_split](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#create_train_test_split) or the [create_train_validation_test_split](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/feature_view_api/#create_train_validation_test_split)
+Nevertheless, external feature groups defined top of any data source can be used to create a training dataset from a Python environment invoking one of the following methods: [create_training_data](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#create_training_data), [create_train_test_split](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#create_train_test_split) or the [create_train_validation_test_split](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/feature_view_api/#create_train_validation_test_split)
 
 ### API Reference
 
-[External FeatureGroup](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/external_feature_group_api/#externalfeaturegroup)
+[External FeatureGroup](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/external_feature_group_api/#externalfeaturegroup)
 
 ## Create using the UI
 

docs/user_guides/fs/feature_group/create_spine.md

@@ -60,4 +60,4 @@ You just need to make sure it has the same schema.
 
 ### API Reference
 
-[SpineGroup](<https://docs.hopsworks.ai/hopsworks-api/{{{> hopsworks_version }}}/generated/api/spine_group_api/#spinegroup)
+[SpineGroup](<https://docs.hopsworks.ai/hopsworks-api/{{{hopsworks_version}}}/generated/api/spine_group_api/#spinegroup)