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atqy authored Jul 27, 2022
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12 changes: 6 additions & 6 deletions sagemaker-featurestore/feature_store_introduction.ipynb
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"This notebook uses both `boto3` and Python SDK libraries, and the `Python 3 (Data Science)` kernel. This notebook works with Studio, Jupyter, and JupyterLab. \n",
"\n",
"#### Library dependencies:\n",
"* sagemaker>=2.100.0\n",
"* NumPy\n",
"* pandas\n",
"* `sagemaker>=2.100.0`\n",
"* `numpy`\n",
"* `pandas`\n",
"\n",
"#### Role requirements:\n",
"**IMPORTANT**: You must attach the following policies to your execution role:\n",
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"source": [
"### Add metadata to a feature\n",
"\n",
"We can put some searchable metadata to the features of the FeatureGroup by using the `UpdateFeatureMetadata` API. The current support metadata fields are `description` and `parameters`."
"We can add searchable metadata fields to FeatureGroup features by using the `UpdateFeatureMetadata` API. The currently supported metadata fields are `description` and `parameters`."
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"To confirm that the feature has been updated with the new metadata, we use `DescribeFeatureMetadata` to display that feature."
"To view feature metadata, we can use `DescribeFeatureMetadata` to display that feature."
]
},
{
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"cell_type": "markdown",
"metadata": {},
"source": [
"Feature metadata fields are searchable. We use `search` API with filters to display the specific feature."
"Feature metadata fields are searchable. We use `search` API to find features with metadata that matches some search criteria."
]
},
{
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