pub struct MeanShiftModel {
pub cluster_centers: Array2<f64>,
pub bandwidth: f64,
pub labels: Option<Array1<usize>>,
}Expand description
Mean Shift model that can be serialized
Fields§
§cluster_centers: Array2<f64>Cluster centers
bandwidth: f64Bandwidth parameter
labels: Option<Array1<usize>>Cluster labels (optional)
Implementations§
Trait Implementations§
Source§impl Clone for MeanShiftModel
impl Clone for MeanShiftModel
Source§fn clone(&self) -> MeanShiftModel
fn clone(&self) -> MeanShiftModel
Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
Performs copy-assignment from
source. Read moreSource§impl Debug for MeanShiftModel
impl Debug for MeanShiftModel
Source§impl<'de> Deserialize<'de> for MeanShiftModel
impl<'de> Deserialize<'de> for MeanShiftModel
Source§fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>where
__D: Deserializer<'de>,
Deserialize this value from the given Serde deserializer. Read more
Source§impl SerializableModel for MeanShiftModel
impl SerializableModel for MeanShiftModel
Source§fn save_to_file_compressed<P: AsRef<Path>>(&self, path: P) -> Result<()>
fn save_to_file_compressed<P: AsRef<Path>>(&self, path: P) -> Result<()>
Save the model to a file with compression
Source§fn load_from_file_compressed<P: AsRef<Path>>(path: P) -> Result<Self>
fn load_from_file_compressed<P: AsRef<Path>>(path: P) -> Result<Self>
Load the model from a compressed file
Source§fn load_from_reader<R: Read>(reader: R) -> Result<Self>
fn load_from_reader<R: Read>(reader: R) -> Result<Self>
Load the model from a reader
Auto Trait Implementations§
impl Freeze for MeanShiftModel
impl RefUnwindSafe for MeanShiftModel
impl Send for MeanShiftModel
impl Sync for MeanShiftModel
impl Unpin for MeanShiftModel
impl UnsafeUnpin for MeanShiftModel
impl UnwindSafe for MeanShiftModel
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impl<T> BorrowMut<T> for Twhere
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