!important;\n}\n\n.row-gap-5 {\n  row-gap: 3rem !important;\n}\n\n.column-gap-0 {\n  -moz-column-gap: 0 !important;\n  column-gap: 0 !important;\n}\n\n.column-gap-1 {\n  -moz-column-gap: 0.25rem !important;\n  column-gap: 0.25rem !important;\n}\n\n.column-gap-2 {\n  -moz-column-gap: 0.5rem !important;\n  column-gap: 0.5rem !important;\n}\n\n.column-gap-3 {\n  -moz-column-gap: 1rem !important;\n  column-gap: 1rem !important;\n}\n\n.column-gap-4 {\n  -moz-column-gap: 1.5rem !important;\n  column-gap: 1.5rem !impo...

d) .card-footer {\n    border-bottom-left-radius: 0;\n  }\n}\n\n.card-columns .card {\n  margin-bottom: 0.75rem;\n}\n\n@media (min-width: 576px) {\n  .card-columns {\n    -webkit-column-count: 3;\n    -moz-column-count: 3;\n    column-count: 3;\n    -webkit-column-gap: 1.25rem;\n    -moz-column-gap: 1.25rem;\n    column-gap: 1.25rem;\n    orphans: 1;\n    widows: 1;\n  }\n  .card-columns .card {\n    display: inline-block;\n    width: 100%;\n  }\n}\n\n.accordion {\n  overflow-anchor: none;\n}\n\n.accordion...

    operations such as categorical feature encoding, text vectorization, data
    normalization, and data discretization (binning). The newly added layers
    provide a replacement for the legacy feature column API, and support
    composite tensor inputs.
*   Added **categorical data** processing layers:
    *   `IntegerLookup` & `StringLookup`: build an index of categorical feature
        values

Software // Implementations of Modular Exponentiation" by Shay Gueron // [https://eprint.iacr.org/2011/239.pdf]. var c uint for i := 0; i < n; i++ { _ = T[n+i] // bounds check elimination hint // Step 1 (T = a × b) is computed as a large pen-and-paper column // multiplication of two numbers with n base-2^_W digits. If we just // wanted to produce 2n-wide T, we would do // // for i := 0; i < n; i++ { // d := bLimbs[i] // T[n+i] = addMulVVW(T[i:n+i], aLimbs, d) // } // // where d is a digit of the multiplier,...