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predicting_memory_cost

PredictingMemoryCost QACategory definition.

PredictingMemoryCost

Bases: QACategory

The PredictingMemoryCost QACategory reflects the cost of model predicting associated with memory resources.

Source code in mlte/qa_category/costs/predicting_memory_cost.py 
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class PredictingMemoryCost(QACategory):
    """
    The PredictingMemoryCost QACategory reflects the cost
    of model predicting associated with memory resources.
    """

    def __init__(self, rationale: str):
        """
        Initialize a PredictingMemoryCost instance.
        """
        super().__init__(
            instance=self,
            description="""
                The PredictingMemoryCost QACategory assesses the
                memory requirements of model predicting. This might
                be measured by the memory requirements of QACategory
                processes that run locally, or the cost of memory
                resources required for QACategory processes that run
                on on-demand cloud infrastructure.
                """,
            rationale=rationale,
        )

__init__(rationale)

Initialize a PredictingMemoryCost instance.

Source code in mlte/qa_category/costs/predicting_memory_cost.py 
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def __init__(self, rationale: str):
    """
    Initialize a PredictingMemoryCost instance.
    """
    super().__init__(
        instance=self,
        description="""
            The PredictingMemoryCost QACategory assesses the
            memory requirements of model predicting. This might
            be measured by the memory requirements of QACategory
            processes that run locally, or the cost of memory
            resources required for QACategory processes that run
            on on-demand cloud infrastructure.
            """,
        rationale=rationale,
    )