Struct ExperimentalDataset 

pub struct ExperimentalDataset {
    pub metadata: SensorMetadata,
    pub samples: Vec<DataSample>,
}

Experimental time series dataset.

Fields

metadata: SensorMetadata

Sensor metadata.

samples: Vec<DataSample>

Ordered samples.

Implementations

impl ExperimentalDataset

pub fn new(metadata: SensorMetadata) -> Self

Create an empty dataset with the given metadata.

pub fn push(&mut self, time: f64, value: f64)

Append a sample.

pub fn len(&self) -> usize

Return the number of samples.

pub fn is_empty(&self) -> bool

Return true if there are no samples.

pub fn mean(&self) -> f64

Compute the mean of non-outlier values.

pub fn std_dev(&self) -> f64

Compute the standard deviation of non-outlier values.

pub fn flag_outliers_iqr(&mut self, k: f64)

Flag outliers using the IQR method (fence factor k, typically 1.5).

pub fn flag_outliers_zscore(&mut self, z_thresh: f64)

Flag outliers using the z-score method (threshold z_thresh, typically 3.0).

pub fn outliers(&self) -> Vec<&DataSample>

Return only the outlier samples.

pub fn from_csv(csv: &str, metadata: SensorMetadata) -> Result<Self, String>

Parse from CSV text: time,value rows.

pub fn to_csv(&self) -> String

Serialize to CSV text.

pub fn range(&self) -> Option<(f64, f64)>

Return min and max of non-outlier values, or None if empty.

pub fn downsample(&self, n: usize) -> Self

Downsample by keeping every n-th sample.

Trait Implementations

impl Clone for ExperimentalDataset

fn clone(&self) -> ExperimentalDataset

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for ExperimentalDataset

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

Formats the value using the given formatter.