Rows to Matrix

Build X Matrix

Copy the displayed feature cells into X in the pinned order.

highlighted = computed this step

Stack the feature rows

X stacks row A [1,2], row B [2,1], and row C [3,3].

X=[122133]X=\begin{bmatrix}1&2\\2&1\\3&3\end{bmatrix}
Feature Matrix ExactlyExact rows rewritten into X, y, and intercept X plus.rows to X, y, and intercept X plusrow idx1x2yX rowy entryX+ rowA125[1,2]5[1,1,2]B214[2,1]4[1,2,1]C338[3,3]8[1,3,3]feature order: x1, x2; row ids stay outside Xintercept column is all ones in X+feature matrix is a table rewrite from displayed rowsrow IDs stay outside X; intercept column is all onesNOT training; NOT learning; NOT predictionNOT accuracy; NOT generalization; NOT feature importanceNOT best features; NOT causal; NOT probability truth

Labels do not enter X

The y cells are not feature columns in this rewrite. X uses only the two feature columns.

X uses feature columns onlyX\text{ uses feature columns only}
Feature Matrix ExactlyExact rows rewritten into X, y, and intercept X plus.rows to X, y, and intercept X plusrow idx1x2yX rowy entryX+ rowA125[1,2]5[1,1,2]B214[2,1]4[1,2,1]C338[3,3]8[1,3,3]feature order: x1, x2; row ids stay outside Xintercept column is all ones in X+feature matrix is a table rewrite from displayed rowsrow IDs stay outside X; intercept column is all onesNOT training; NOT learning; NOT predictionNOT accuracy; NOT generalization; NOT feature importanceNOT best features; NOT causal; NOT probability truth

Every X entry is copied exactly

No cell is rounded or fitted. Each X entry is copied from the displayed feature cells.

copy displayed feature cells into X\text{copy displayed feature cells into } X
Feature Matrix ExactlyExact rows rewritten into X, y, and intercept X plus.rows to X, y, and intercept X plusrow idx1x2yX rowy entryX+ rowA125[1,2]5[1,1,2]B214[2,1]4[1,2,1]C338[3,3]8[1,3,3]feature order: x1, x2; row ids stay outside Xintercept column is all ones in X+feature matrix is a table rewrite from displayed rowsrow IDs stay outside X; intercept column is all onesNOT training; NOT learning; NOT predictionNOT accuracy; NOT generalization; NOT feature importanceNOT best features; NOT causal; NOT probability truth