final class WeightedCommonStatistics extends GeneratedMessageV3 with WeightedCommonStatisticsOrBuilder
Common weighted statistics for all feature types. Statistics counting number of values (i.e., avg_num_values and tot_num_values) include NaNs. If the weighted column is missing, then this counts as a weight of 1 for that example.
Protobuf type tensorflow.metadata.v0.WeightedCommonStatistics
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- def getAvgNumValues(): Double
average number of values, weighted by the number of examples.
average number of values, weighted by the number of examples.
double avg_num_values = 3;- returns
The avgNumValues.
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- def getNumMissing(): Double
Weighted number of examples missing. Note that if the weighted column is zero, this does not count as missing.
Weighted number of examples missing. Note that if the weighted column is zero, this does not count as missing.
double num_missing = 2;- returns
The numMissing.
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- def getNumNonMissing(): Double
Weighted number of examples not missing.
Weighted number of examples not missing.
double num_non_missing = 1;- returns
The numNonMissing.
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- def getTotNumValues(): Double
tot_num_values = avg_num_values * num_non_missing. This is calculated directly, so should have less numerical error.
tot_num_values = avg_num_values * num_non_missing. This is calculated directly, so should have less numerical error.
double tot_num_values = 4;- returns
The totNumValues.
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