Updated docs [skip ci]
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@@ -27,7 +27,7 @@ impl Model {
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Ok(Model { model })
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Ok(Model { model })
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}
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}
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/// Returns the predicted value for a specific row and column.
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/// Returns the predicted value for a row and column.
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pub fn predict(&self, row_index: i32, column_index: i32) -> f32 {
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pub fn predict(&self, row_index: i32, column_index: i32) -> f32 {
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unsafe { mf_predict(self.model, row_index, column_index) }
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unsafe { mf_predict(self.model, row_index, column_index) }
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}
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}
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@@ -73,7 +73,7 @@ impl Model {
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unsafe { std::slice::from_raw_parts((*self.model).q, (self.columns() * self.factors()) as usize) }
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unsafe { std::slice::from_raw_parts((*self.model).q, (self.columns() * self.factors()) as usize) }
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}
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}
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/// Returns the latent factors for a specific row.
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/// Returns the latent factors for a row.
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pub fn p(&self, row_index: i32) -> Option<&[f32]> {
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pub fn p(&self, row_index: i32) -> Option<&[f32]> {
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if row_index >= 0 && row_index < self.rows() {
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if row_index >= 0 && row_index < self.rows() {
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let factors = self.factors();
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let factors = self.factors();
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@@ -84,7 +84,7 @@ impl Model {
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None
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None
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}
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}
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/// Returns the latent factors for a specific column.
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/// Returns the latent factors for a column.
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pub fn q(&self, column_index: i32) -> Option<&[f32]> {
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pub fn q(&self, column_index: i32) -> Option<&[f32]> {
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if column_index >= 0 && column_index < self.columns() {
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if column_index >= 0 && column_index < self.columns() {
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let factors = self.factors();
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let factors = self.factors();
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