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StatisticalOperation

qualia_core_db::specialized_libs::statistical_computing

Enum StatisticalOperation 

Source 
pub enum StatisticalOperation {

Show 24 variants    Mean {
        dataset: String,
        column: String,
        result: String,
    },
    Median {
        dataset: String,
        column: String,
        result: String,
    },
    Mode {
        dataset: String,
        column: String,
        result: String,
    },
    Variance {
        dataset: String,
        column: String,
        result: String,
        sample: bool,
    },
    StandardDeviation {
        dataset: String,
        column: String,
        result: String,
        sample: bool,
    },
    Skewness {
        dataset: String,
        column: String,
        result: String,
    },
    Kurtosis {
        dataset: String,
        column: String,
        result: String,
    },
    Histogram {
        dataset: String,
        column: String,
        bins: usize,
        result: String,
    },
    Quantile {
        dataset: String,
        column: String,
        quantile: f64,
        result: String,
    },
    Percentile {
        dataset: String,
        column: String,
        percentile: f64,
        result: String,
    },
    Correlation {
        dataset: String,
        column1: String,
        column2: String,
        method: CorrelationMethod,
        result: String,
    },
    Covariance {
        dataset: String,
        column1: String,
        column2: String,
        sample: bool,
        result: String,
    },
    LinearRegression {
        dataset: String,
        dependent: String,
        independent: Vec<String>,
        result: String,
    },
    LogisticRegression {
        dataset: String,
        dependent: String,
        independent: Vec<String>,
        result: String,
    },
    PolynomialRegression {
        dataset: String,
        dependent: String,
        independent: Vec<String>,
        degree: u32,
        result: String,
    },
    TTest {
        dataset: String,
        column: String,
        hypothesis_type: HypothesisType,
        result: String,
    },
    ChiSquareTest {
        dataset: String,
        column1: String,
        column2: String,
        result: String,
    },
    ANOVA {
        dataset: String,
        columns: Vec<String>,
        result: String,
    },
    AutoCorrelation {
        dataset: String,
        column: String,
        lag: usize,
        result: String,
    },
    MovingAverage {
        dataset: String,
        column: String,
        window: usize,
        result: String,
    },
    ExponentialSmoothing {
        dataset: String,
        column: String,
        alpha: f64,
        result: String,
    },
    KMeans {
        dataset: String,
        columns: Vec<String>,
        k: usize,
        result: String,
    },
    LinearSVM {
        dataset: String,
        features: Vec<String>,
        target: String,
        result: String,
    },
    RandomForest {
        dataset: String,
        features: Vec<String>,
        target: String,
        trees: usize,
        result: String,
    },

}
Expand description

Statistical operations

Variants§

§

Mean

Descriptive statistics

Fields

§dataset: String
§column: String
§result: String
§

Median

Fields

§dataset: String
§column: String
§result: String
§

Mode

Fields

§dataset: String
§column: String
§result: String
§

Variance

Fields

§dataset: String
§column: String
§result: String
§sample: bool
§

StandardDeviation

Fields

§dataset: String
§column: String
§result: String
§sample: bool
§

Skewness

Fields

§dataset: String
§column: String
§result: String
§

Kurtosis

Fields

§dataset: String
§column: String
§result: String
§

Histogram

Distribution analysis

Fields

§dataset: String
§column: String
§bins: usize
§result: String
§

Quantile

Fields

§dataset: String
§column: String
§quantile: f64
§result: String
§

Percentile

Fields

§dataset: String
§column: String
§percentile: f64
§result: String
§

Correlation

Correlation analysis

Fields

§dataset: String
§column1: String
§column2: String
§method: CorrelationMethod
§result: String
§

Covariance

Fields

§dataset: String
§column1: String
§column2: String
§sample: bool
§result: String
§

LinearRegression

Regression analysis

Fields

§dataset: String
§dependent: String
§independent: Vec<String>
§result: String
§

LogisticRegression

Fields

§dataset: String
§dependent: String
§independent: Vec<String>
§result: String
§

PolynomialRegression

Fields

§dataset: String
§dependent: String
§independent: Vec<String>
§degree: u32
§result: String
§

TTest

Hypothesis testing

Fields

§dataset: String
§column: String
§hypothesis_type: HypothesisType
§result: String
§

ChiSquareTest

Fields

§dataset: String
§column1: String
§column2: String
§result: String
§

ANOVA

Fields

§dataset: String
§columns: Vec<String>
§result: String
§

AutoCorrelation

Time series analysis

Fields

§dataset: String
§column: String
§lag: usize
§result: String
§

MovingAverage

Fields

§dataset: String
§column: String
§window: usize
§result: String
§

ExponentialSmoothing

Fields

§dataset: String
§column: String
§alpha: f64
§result: String
§

KMeans

Machine learning

Fields

§dataset: String
§columns: Vec<String>
§k: usize
§result: String
§

LinearSVM

Fields

§dataset: String
§features: Vec<String>
§target: String
§result: String
§

RandomForest

Fields

§dataset: String
§features: Vec<String>
§target: String
§trees: usize
§result: String

Trait Implementations§

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impl Clone for StatisticalOperation

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fn clone(&self) -> StatisticalOperation

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for StatisticalOperation

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more

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