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InferenceConfig

laminar_connectors::schema::traits

Struct InferenceConfig 

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pub struct InferenceConfig {
    pub format: String,
    pub number_inference: NumberInference,
    pub array_inference: ArrayInference,
    pub max_samples: usize,
    pub min_confidence: f64,
    pub type_hints: HashMap<String, DataType>,
    pub empty_as_null: bool,
}
Expand description

Configuration for schema inference.

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§format: String

Data format to use for inference.

§number_inference: NumberInference

How to handle number type inference.

§array_inference: ArrayInference

How to handle array type inference.

§max_samples: usize

Maximum number of samples to use.

§min_confidence: f64

Minimum confidence threshold (0.0–1.0) for accepting an inferred type.

§type_hints: HashMap<String, DataType>

Type hints for specific fields.

§empty_as_null: bool

Whether to treat empty strings as nulls.

Implementations§

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impl InferenceConfig

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pub fn new(format: impl Into<String>) -> Self

Creates a new inference config for the given format.

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pub fn with_min_confidence(self, confidence: f64) -> Self

Sets the minimum confidence threshold.

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pub fn with_max_samples(self, n: usize) -> Self

Sets the maximum number of samples.

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pub fn with_type_hint( self, field: impl Into<String>, data_type: DataType, ) -> Self

Adds a type hint for a specific field.

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pub fn with_empty_as_null(self) -> Self

Enables treating empty strings as nulls.

Trait Implementations§

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impl Clone for InferenceConfig

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fn clone(&self) -> InferenceConfig

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for InferenceConfig

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for InferenceConfig

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fn default() -> Self

Returns the “default value” for a type. Read more

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