Result Structs

module crystallize.experiments.result_structs

---

class TreatmentMetrics

TreatmentMetrics(metrics: ‘Dict[str, List[Any]]‘)

method TreatmentMetrics.__init__

__init__(metrics: 'Dict[str, List[Any]]') → None

---

class HypothesisResult

HypothesisResult(name: ‘str’, results: ‘Dict[str, Dict[str, Any]]’, ranking: ‘Dict[str, Any]‘)

method HypothesisResult.__init__

__init__(
    name: 'str',
    results: 'Dict[str, Dict[str, Any]]',
    ranking: 'Dict[str, Any]'
) → None

---

method HypothesisResult.get_for_treatment

get_for_treatment(treatment: 'str') → Optional[Dict[str, Any]]

---

class ExperimentMetrics

ExperimentMetrics(baseline: ‘TreatmentMetrics’, treatments: ‘Dict[str, TreatmentMetrics]’, hypotheses: ‘List[HypothesisResult]‘)

method ExperimentMetrics.__init__

__init__(
    baseline: 'TreatmentMetrics',
    treatments: 'Dict[str, TreatmentMetrics]',
    hypotheses: 'List[HypothesisResult]'
) → None

---

method ExperimentMetrics.to_df

to_df()

---

class AggregateData

Grouped results collected from all replicates.

method AggregateData.__init__

__init__(
    baseline_metrics: 'Dict[str, List[Any]]',
    treatment_metrics_dict: 'Dict[str, Dict[str, List[Any]]]',
    baseline_seeds: 'List[int]',
    treatment_seeds_agg: 'Dict[str, List[int]]',
    provenance_runs: "'DefaultDict[str, Dict[int, List[Mapping[str, Any]]]]'",
    errors: 'Dict[str, Exception]'
) → None