[math] Generic dense matrix implementation using BLAS calls for matrix-matrix multiplication if available
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@@ -26,8 +26,8 @@ typedef struct logistic_regression_trainer {
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size_t num_features; // Number of features
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khash_t(str_uint32) *label_ids; // Hashtable mapping labels to array indices
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size_t num_labels; // Number of labels
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matrix_t *weights; // Matrix of logistic regression weights
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matrix_t *gradient; // Gradient matrix to be reused
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double_matrix_t *weights; // Matrix of logistic regression weights
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double_matrix_t *gradient; // Gradient matrix to be reused
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khash_t(int_set) *unique_columns; // Unique columns set
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uint32_array *batch_columns; // Unique columns as array
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uint32_array *last_updated; // Array of length N indicating the last time each feature was updated
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