# Schemas

- [Column](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/column.md): Represents a single column in a model schema with its metadata and constraints.
- [CustomFeature](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/custom-feature.md): Base class for all custom feature types in Fiddler models.
- [DatasetDataSource](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/dataset-data-source.md): Data source for explainability analysis using a sample from a dataset.
- [DeploymentParams](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/deployment-params.md): Configuration parameters for deploying a model in the Fiddler platform.
- [Enrichment](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/enrichment.md): Represents custom features derived from enrichment operations (Private Preview).
- [EventIdDataSource](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/event-id-data-source.md): Data source for explainability analysis using a specific event ID.
- [ImageEmbedding](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/image-embedding.md): Represents custom features derived from image embeddings for visual content analysis.
- [ModelSchema](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/model-schema.md): Defines the complete schema structure for a model's input data.
- [ModelSpec](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/model-spec.md): Defines how model columns are categorized and used along with model task configuration.
- [ModelTaskParams](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/model-task-params.md): Configuration parameters for different model task types and evaluation metrics.
- [Multivariate](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/multivariate.md): Represents custom features derived from multiple columns using clustering analysis.
- [RowDataSource](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/row-data-source.md): Data source for explainability analysis using a single row of data.
- [TextEmbedding](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/text-embedding.md): Represents custom features derived from text embeddings with TF-IDF analysis.
- [VectorFeature](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/vector-feature.md): Represents custom features derived from a single vector column using clustering analysis.
- [XaiParams](https://docs.fiddler.ai/api/fiddler-python-client-sdk/schemas/xai-params.md): Configuration parameters for explainability (XAI) analysis in Fiddler models.


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