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ArangoGraphML Featurization: Fix feature_type #499

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Merged
merged 3 commits into from
Mar 15, 2024
Merged

ArangoGraphML Featurization: Fix feature_type #499

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968d42a
Fix feature_type
maxkernbach Mar 15, 2024
d00de92
Fix feature_type
maxkernbach Mar 15, 2024
a3d2457
Fix feature_type
maxkernbach Mar 15, 2024
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6 changes: 3 additions & 3 deletions site/content/3.10/data-science/arangographml/getting-started.md
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Original file line number Diff line number Diff line change
Expand Up @@ -308,7 +308,7 @@ The Featurization Specification asks that you input the following:
and they can all be featurized in different ways. Supplying multiple features
results in a single concatenated feature.
- `feature_type`: Provide the feature type. Currently, the supported types
include `text`, `category`, and `numerical`.
include `text`, `category`, and `numeric` and `label`.
- `feature_generator` Optional: Adjust advanced feature generation parameters.
- `feature_name`: The name of this Dict should match the attribute name of the
document stored in ArangoDB. This overrides the name provided for the parent Dict.
Expand All @@ -319,7 +319,7 @@ The Featurization Specification asks that you input the following:
"collectionName": {
"features": {
"attribute_name_1": {
"feature_type": 'text' # Suported types: text, category, numerical, label
"feature_type": 'text' # Suported types: text, category, numeric, label
"feature_generator": { # this advanced option is optional.
"method": "transformer_embeddings",
"feature_name": "movie_title_embeddings",
Expand Down Expand Up @@ -826,4 +826,4 @@ query = f"""
docs = [doc for doc in dataset_db.aql.execute(query)]

print(json.dumps(docs, indent=2))
```
```
6 changes: 3 additions & 3 deletions site/content/3.11/data-science/arangographml/getting-started.md
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Original file line number Diff line number Diff line change
Expand Up @@ -308,7 +308,7 @@ The Featurization Specification asks that you input the following:
and they can all be featurized in different ways. Supplying multiple features
results in a single concatenated feature.
- `feature_type`: Provide the feature type. Currently, the supported types
include `text`, `category`, and `numerical`.
include `text`, `category`, `numeric` and `label`.
- `feature_generator` Optional: Adjust advanced feature generation parameters.
- `feature_name`: The name of this Dict should match the attribute name of the
document stored in ArangoDB. This overrides the name provided for the parent Dict.
Expand All @@ -319,7 +319,7 @@ The Featurization Specification asks that you input the following:
"collectionName": {
"features": {
"attribute_name_1": {
"feature_type": 'text' # Suported types: text, category, numerical, label
"feature_type": 'text' # Suported types: text, category, numeric, label
"feature_generator": { # this advanced option is optional.
"method": "transformer_embeddings",
"feature_name": "movie_title_embeddings",
Expand Down Expand Up @@ -826,4 +826,4 @@ query = f"""
docs = [doc for doc in dataset_db.aql.execute(query)]

print(json.dumps(docs, indent=2))
```
```
6 changes: 3 additions & 3 deletions site/content/3.12/data-science/arangographml/getting-started.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -308,7 +308,7 @@ The Featurization Specification asks that you input the following:
and they can all be featurized in different ways. Supplying multiple features
results in a single concatenated feature.
- `feature_type`: Provide the feature type. Currently, the supported types
include `text`, `category`, and `numerical`.
include `text`, `category`, `numeric` and `label`.
- `feature_generator` Optional: Adjust advanced feature generation parameters.
- `feature_name`: The name of this Dict should match the attribute name of the
document stored in ArangoDB. This overrides the name provided for the parent Dict.
Expand All @@ -319,7 +319,7 @@ The Featurization Specification asks that you input the following:
"collectionName": {
"features": {
"attribute_name_1": {
"feature_type": 'text' # Suported types: text, category, numerical, label
"feature_type": 'text' # Suported types: text, category, numeric, label
"feature_generator": { # this advanced option is optional.
"method": "transformer_embeddings",
"feature_name": "movie_title_embeddings",
Expand Down Expand Up @@ -826,4 +826,4 @@ query = f"""
docs = [doc for doc in dataset_db.aql.execute(query)]

print(json.dumps(docs, indent=2))
```
```