Aggregation Methods

Methods

AbsoluteMax<C>(C) Creates a descriptor that computes the value with greatest absolute magnitude in the specified column.
AbsoluteMax<C>(ColumnSelector) Creates a descriptor that computes values with greatest absolute magnitude in selected columns.
AbsoluteMaxIndex<C>(C) Creates a descriptor that computes the zero-based index of the value with greatest absolute magnitude.
AbsoluteMaxIndex<C>(ColumnSelector) Creates a descriptor that computes zero-based indexes of values with greatest absolute magnitude.
AbsoluteMin<C>(C) Creates a descriptor that computes the value with smallest absolute magnitude in the specified column.
AbsoluteMin<C>(ColumnSelector) Creates a descriptor that computes values with smallest absolute magnitude in selected columns.
AbsoluteMinIndex<C>(C) Creates a descriptor that computes the zero-based index of the value with smallest absolute magnitude.
AbsoluteMinIndex<C>(ColumnSelector) Creates a descriptor that computes zero-based indexes of values with smallest absolute magnitude.
Correlation<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes correlations for selected column pairs.
Correlation<C>(C, C) Creates a descriptor that computes correlation between two columns.
CorrelationAsDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued correlations for selected column pairs.
CorrelationAsDouble<C>(C, C) Creates a descriptor that computes correlation between two columns and returns a Double result.
CorrelationDistance<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes correlation distances for selected column pairs.
CorrelationDistance<C>(C, C) Creates a descriptor that computes correlation distance between two columns.
CosineDistance<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes cosine distances for selected column pairs.
CosineDistance<C>(C, C) Creates a descriptor that computes cosine distance between two columns.
CosineSimilarity<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes cosine similarities for selected column pairs.
CosineSimilarity<C>(C, C) Creates a descriptor that computes cosine similarity between two columns.
CosineSimilarityAsDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued cosine similarities for selected column pairs.
CosineSimilarityAsDouble<C>(C, C) Creates a descriptor that computes cosine similarity and returns a Double result.
Count<C>(ColumnSelector) Creates a descriptor that counts non-missing values in selected columns.
Count<C>(C) Creates a descriptor that counts non-missing values in the specified column.
CountUnique<C>(ColumnSelector) Creates a descriptor that counts distinct non-missing values in selected columns.
CountUnique<C>(C) Creates a descriptor that counts distinct non-missing values in the specified column.
Covariance<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes covariance for selected column pairs.
Covariance<C>(C, C) Creates a descriptor that computes covariance between two columns.
CovarianceAsDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued covariances for selected column pairs.
CovarianceAsDouble<C>(C, C) Creates a descriptor that computes covariance between two columns and returns a Double result.
DotProduct<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes dot products for selected column pairs.
DotProduct<C>(C, C) Creates a descriptor that computes dot product between two columns.
EuclideanDistance<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes Euclidean distances for selected column pairs.
EuclideanDistance<C>(C, C) Creates a descriptor that computes Euclidean distance between two columns.
EuclideanDistanceAsDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued Euclidean distances for selected column pairs.
EuclideanDistanceAsDouble<C>(C, C) Creates a descriptor that computes Euclidean distance and returns a Double result.
First<C>(ColumnSelector) Creates a descriptor that returns first values in selected columns.
First<C>(C) Creates a descriptor that returns the first value in the specified column.
FirstQuartile<C>(ColumnSelector) Creates a descriptor that computes first quartiles of selected columns.
FirstQuartile<C>(C) Creates a descriptor that computes the first quartile of the specified column.
Kurtosis<C>(ColumnSelector) Creates a descriptor that computes kurtosis of selected columns.
Kurtosis<C>(C) Creates a descriptor that computes kurtosis of the specified column.
Last<C>(ColumnSelector) Creates a descriptor that returns last values in selected columns.
Last<C>(C) Creates a descriptor that returns the last value in the specified column.
LogSumExp<C>(ColumnSelector) Creates a descriptor that computes logarithms of sums of exponentials of selected columns.
LogSumExp<C>(C) Creates a descriptor that computes the logarithm of the sum of exponentials of the specified column.
Max<C>(ColumnSelector) Creates a descriptor that computes maximum values of selected columns.
Max<C>(C) Creates a descriptor that computes the maximum value of the specified column.
MaxIndex<C>(ColumnSelector) Creates a descriptor that computes zero-based indexes of maximum values in selected columns.
MaxIndex<C>(C) Creates a descriptor that computes the zero-based index of the maximum value in the specified column.
Mean<C>(ColumnSelector) Creates a descriptor that computes the mean of selected columns.
Mean<C>(C) Creates a descriptor that computes the mean of the specified column.
MeanAsDouble<C>(ColumnSelector) Creates a descriptor that computes means of selected columns and returns Double results.
MeanAsDouble<C>(C) Creates a descriptor that computes the mean of the specified column and returns a Double result.
Median<C>(ColumnSelector) Creates a descriptor that computes medians of selected columns.
Median<C>(C) Creates a descriptor that computes the median of the specified column.
Min<C>(ColumnSelector) Creates a descriptor that computes minimum values of selected columns.
Min<C>(C) Creates a descriptor that computes the minimum value of the specified column.
MinIndex<C>(ColumnSelector) Creates a descriptor that computes zero-based indexes of minimum values in selected columns.
MinIndex<C>(C) Creates a descriptor that computes the zero-based index of the minimum value in the specified column.
Mode<C>(ColumnSelector) Creates a descriptor that computes the mode of selected columns.
Mode<C>(C) Creates a descriptor that computes the mode of the specified column.
OneNorm<C>(ColumnSelector) Creates a descriptor that computes one-norms of selected columns.
OneNorm<C>(C) Creates a descriptor that computes the one-norm of the specified column.
OneNormAsDouble<C>(ColumnSelector) Creates a descriptor that computes one-norms of selected columns and returns Double results.
OneNormAsDouble<C>(C) Creates a descriptor that computes the one-norm of the specified column and returns a Double result.
Product<C>(ColumnSelector) Creates a descriptor that multiplies values in selected columns.
Product<C>(C) Creates a descriptor that multiplies values in the specified column.
ProductAsDouble<C>(ColumnSelector) Creates a descriptor that multiplies values in selected columns and returns Double results.
ProductAsDouble<C>(C) Creates a descriptor that multiplies values in the specified column and returns a Double result.
Quantile<C>(ColumnSelector, Double) Creates a descriptor that computes quantiles of selected columns.
Quantile<C>(C, Double) Creates a descriptor that computes a quantile of the specified column.
Quantile<C>(ColumnSelector, Double, QuantileType) Creates a descriptor that computes quantiles of selected columns using the specified quantile method.
Quantile<C>(ColumnSelector, Double, Int32) Creates a descriptor that computes quantiles of selected columns using an R quantile type number.
Quantile<C>(C, Double, Int32) Creates a descriptor that computes a quantile of the specified column using an R quantile type number.
Quantile<C>(C, Double, QuantileType) Creates a descriptor that computes a quantile of the specified column using the specified quantile method.
Range<C>(ColumnSelector) Creates a descriptor that computes ranges of selected columns.
Range<C>(C) Creates a descriptor that computes the range of the specified column.
Skewness<C>(ColumnSelector) Creates a descriptor that computes skewness of selected columns.
Skewness<C>(C) Creates a descriptor that computes skewness of the specified column.
Skip<C>(ColumnSelector, Int32) Creates a descriptor that returns first non-missing values after skipping a number of values.
Skip<C>(C, Int32) Creates a descriptor that returns the first non-missing value after skipping a number of values.
StandardDeviation<C>(ColumnSelector) Creates a descriptor that computes sample standard deviations of selected columns.
StandardDeviation<C>(C) Creates a descriptor that computes sample standard deviation of the specified column.
StandardDeviationAsDouble<C>(ColumnSelector) Creates a descriptor that computes sample standard deviations of selected columns and returns Double results.
StandardDeviationAsDouble<C>(C) Creates a descriptor that computes sample standard deviation of the specified column and returns a Double result.
Sum<C>(ColumnSelector) Creates a descriptor that sums selected columns.
Sum<C>(C) Creates a descriptor that sums the specified column.
SumAsDouble<C>(ColumnSelector) Creates a descriptor that sums selected columns and returns Double results.
SumAsDouble<C>(C) Creates a descriptor that sums the specified column and returns a Double result.
SumOfAbsoluteDifferences<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes sums of absolute differences for selected column pairs.
SumOfAbsoluteDifferences<C>(C, C) Creates a descriptor that computes the sum of absolute differences between two columns.
SumOfSquares<C>(ColumnSelector) Creates a descriptor that computes sums of squares of selected columns.
SumOfSquares<C>(C) Creates a descriptor that computes the sum of squares of the specified column.
ThirdQuartile<C>(ColumnSelector) Creates a descriptor that computes third quartiles of selected columns.
ThirdQuartile<C>(C) Creates a descriptor that computes the third quartile of the specified column.
TwoNorm<C>(ColumnSelector) Creates a descriptor that computes Euclidean norms of selected columns.
TwoNorm<C>(C) Creates a descriptor that computes the Euclidean norm of the specified column.
Variance<C>(ColumnSelector) Creates a descriptor that computes sample variances of selected columns.
Variance<C>(C) Creates a descriptor that computes sample variance of the specified column.
VarianceAsDouble<C>(ColumnSelector) Creates a descriptor that computes sample variances of selected columns and returns Double results.
VarianceAsDouble<C>(C) Creates a descriptor that computes sample variance of the specified column and returns a Double result.
WeightedMean<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes weighted means for selected value/weight column pairs.
WeightedMean<C>(C, C) Creates a descriptor that computes the weighted mean of one column using another as weights.
WeightedMeanAsDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued weighted means for selected value/weight column pairs.
WeightedMeanAsDouble<C>(C, C) Creates a descriptor that computes the weighted mean of one column and returns a Double result.
WeightedStandardDeviation<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes weighted standard deviations for selected value/weight column pairs.
WeightedStandardDeviation<C>(C, C) Creates a descriptor that computes weighted standard deviation of one column using another as weights.
WeightedStandardDeviationOfDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued weighted standard deviations for selected value/weight column pairs.
WeightedStandardDeviationOfDouble<C>(C, C) Creates a descriptor that computes weighted standard deviation and returns a Double result.
WeightedVariance<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes weighted variances for selected value/weight column pairs.
WeightedVariance<C>(C, C) Creates a descriptor that computes weighted variance of one column using another as weights.
WeightedVarianceOfDouble<C>(ColumnSelector, ColumnSelector) Creates a descriptor that computes double-valued weighted variances for selected value/weight column pairs.
WeightedVarianceOfDouble<C>(C, C) Creates a descriptor that computes weighted variance and returns a Double result.

See Also