DateAccumulator

Accumulator for computing statistics of date features including cyclical encoding.

Constructor

__init__(self)

Initializes the accumulators for date features.

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mean

mean(self) -> dict

Returns the mean statistics for date features.

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update

update(self, dates: tensorflow.python.framework.tensor.Tensor) -> None

Updates the accumulators with new date values.

Parameters- dates: Either a tensor of date strings (YYYY-MM-DD or YYYY/MM/DD),

    as read from a CSV column, or an already parsed numeric tensor of
    shape ``[batch_size, >=4]`` whose columns are
    ``[year, month, day_of_month, day_of_week]``.

Raises

• ValueError: If a parsed numeric tensor does not carry the four expected date components.

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variance

variance(self) -> dict

Returns the variance statistics for date features.

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