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Discover Ludwig"feature matrix" is a correct and usable phrase in written English.
It is a term used in data analysis to describe a matrix of relationships between variables or features of a dataset. For example, in a dataset of customer information, a feature matrix might show how each customer responded to different marketing campaigns.
Exact(60)
Finally, we formed a feature matrix in dimension of N subj × 4 for the FBIRN data.
Feature matrix can be stored in either array (dense) format and coordinate (sparse) format.
The associated feature matrix can be stored in the file train_x in dense format.
The associated feature matrix can be stored in the file train_x in sparse format.
To solve the l1-regularized LRP, l1_logreg uses Preconditioned Conjugate Gradient (PCG) method if the feature matrix is stored in sparse format, and the direct method if the feature matrix is stored in dense format.
To solve associated l1-regularized LRP, a user stores a feature matrix and a class vector in MM format.
Eigen decomposition of each tensor matrix is used to generate the feature matrix.
Namely, Xk = AkCk, where Xk is a subjects-by-voxels feature matrix and Ak is a subjects by number of components (M) mixing matrix.
Following this, the mean of each ROI was calculated for each subject, resulting in a N subj × 4 feature matrix for the UNM and COBRE cohorts, respectively.
Using the patient feature matrix along with prior knowledge about drugs, diseases, and known usage, we can identify potentially risky off-label uses.
It performs training, that is learning a logistic model from training examples of feature matrix train_x and class vector train_b with = 0.01.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com