# Mars Runtime Basics

## Overview

`marsruntime` provides a portable R surface for validated Mars `ModelSpec` artifacts. It can validate, replay, and inspect portable artifacts through the same package interface that the release docs and package manual describe.

## Loading a model specification

    library(marsruntime)

    spec <- list(
      spec_version = "1.0",
      basis_terms = list(list(kind = "constant")),
      coefficients = list(1),
      feature_schema = list(n_features = 0)
    )

    validate_model_spec(spec)

## Replaying predictions

    rows <- matrix(numeric(0), nrow = 1, ncol = 0)
    design_matrix(spec, rows)
    #>      [,1]
    #> [1,]    1
    predict_model(spec, rows)
    #> [1] 1

## Training

When the Rust runtime helper is available, `fit_model()` can fit a portable specification from feature and response data. The actual training path is runtime-dependent, so this vignette shows the call without executing it.

    fit_model(
      x = matrix(c(0, 1, 2), ncol = 1),
      y = c(1, 3, 5),
      max_terms = 5,
      max_degree = 1,
      penalty = 3.0
    )

## Validation

For source-tree validation, run:

    Rscript tests/conformance.R
    Rscript tests/training.R

For package publication validation, run:

    R CMD build .
    R CMD check --no-manual --as-cran marsruntime_*.tar.gz
    R CMD Rd2pdf .