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Data segment for targeted monitoring and cohort analysis. Segment defines subsets of model data based on specific criteria using SQL-like expressions. Segments enable cohort analysis, A/B testing evaluation, targeted monitoring of specific populations, and fairness analysis across different groups.

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Example

# High-value customer segment
high_value_segment = Segment(
    name="high_value_customers",
    model_id=model.id,
    definition="customer_lifetime_value > 10000 and account_age_days > 365",
    description="Customers with high LTV and established accounts"
).create()

# Geographic segment
west_coast_segment = Segment(
    name="west_coast_users",
    model_id=model.id,
    definition="state == 'CA' or state == 'OR' or state == 'WA'",
    description="Users from West Coast states"
).create()

# Risk-based segment
high_risk_segment = Segment(
    name="high_risk_applications",
    model_id=model.id,
    definition="credit_score < 600 or debt_to_income > 0.4",
    description="Loan applications with elevated risk factors"
).create()

# Age-based demographic segment
young_adults_segment = Segment(
    name="young_adults",
    model_id=model.id,
    definition="age >= 18 and age <= 35",
    description="Young adult demographic (18-35 years)"
).create()

# Use segment in alert rule for targeted monitoring
segment_alert = AlertRule(
    name="high_value_drift_alert",
    model_id=model.id,
    metric_id="drift_score",
    priority=Priority.HIGH,
    compare_to=CompareTo.BASELINE,
    condition=AlertCondition.GT,
    bin_size=BinSize.HOUR,
    critical_threshold=0.7,
    baseline_id=baseline.id,
    segment_id=high_value_segment.id
).create()
Segments are evaluated during data processing and can be used with any monitoring metric. Complex segment definitions may impact performance, so optimize for efficiency. Segments are particularly useful for fairness monitoring and business-critical cohort analysis.

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create()

Create a new Segment on the Fiddler platform. Registers this Segment with the Fiddler platform. The expression must have a name, model_id, and definition specified before calling create().

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Returns

The same Segment instance with updated server-side attributes (id, created_at, etc.).

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Raises

  • ApiError – If there’s an error communicating with the Fiddler API.
  • Conflict – If a Segment with the same name already exists for this model.

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delete()

Delete this Segment from the Fiddler platform. Permanently removes the Segment. This action cannot be undone. Any alert rules or monitors using this Segment must be deleted first.

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Raises

  • NotFound – If the Segment no longer exists.
  • ApiError – If there’s an error communicating with the Fiddler API.
  • Conflict – If the Segment is still being used by alert rules or monitors.

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classmethod from_name()

Retrieve a Segment by name and model. Fetches a Segment from the Fiddler platform using its name and associated model ID.

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Parameters

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name
str
required
The name of the Segment to retrieve.
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model_id
UUID | str
required
UUID or string identifier of the associated Model.

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Returns

The Segment instance for the provided parameters.

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Raises

  • NotFound – If no Segment exists with the specified name and model.
  • ApiError – If there’s an error communicating with the Fiddler API.

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classmethod get()

Retrieve a Segment by its unique identifier. Fetches a Segment from the Fiddler platform using its UUID.

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Parameters

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id_
UUID | str
required
The unique identifier (UUID) of the Segment to retrieve. Can be provided as a UUID object or string representation.

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Returns

The Segment instance with all its configuration and metadata.

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Raises

  • NotFound – If no Segment exists with the specified ID.
  • ApiError – If there’s an error communicating with the Fiddler API.

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classmethod get_organization_id()

Get the organization UUID from the global connection.

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Returns

Unique identifier of the organization associated with the current connection.

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classmethod get_organization_name()

Get the organization name from the global connection.

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Returns

Name of the organization associated with the current connection.

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classmethod list()

List all Segment instances for a model. Retrieves all Segment instances associated with a specific model.

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Parameters

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model_id
UUID | str
required
UUID or string identifier of the Model.

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Yields

Segment instances for each Segment in the model.

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Raises

ApiError – If there’s an error communicating with the Fiddler API.

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Returns

Iterator[Segment]

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init()

Construct a segment instance.