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We introduce \cosha{}: a Code for Stellar properties Heuristic Assignment. Inorder to estimate the stellar properties, \cosha{} implements a Gradient TreeBoosting algorithm to label each star across the parameter space($T_\mathrm{eff}$, $\log{g}$, $[\mathrm{Fe}/\mathrm{H}]$, and$[\alpha/\mathrm{Fe}]$). We use \cosha{} to estimate these stellar atmosphericparameters of $22\,$k unique stars in the MaNGA Stellar Library (MaStar). Toquantify the reliability of our approach, we run both internal tests using theG\"ottingen Stellar Library (GSL, a theoretical library) and the first datarelease of MaStar, and external tests by comparing the resulting distributionsin the parameter space with the APOGEE estimates of the same properties. Insummary, our parameter estimates span in the ranges:$T_\mathrm{eff}=[2900,12000]\,$K, $\log{g}=[-0.5,5.6]$,$[\mathrm{Fe}/\mathrm{H}]=[-3.74,0.81]$, $[\alpha/\mathrm{Fe}]=[-0.22,1.17]$.{We report internal (external) uncertainties of the properties of$\sigma_{T_\mathrm{eff}}\sim43\,(240)\,$K, $\sigma_{\log{g}}\sim0.2\,(0.4)$,$\sigma_{[\mathrm{Fe}/\mathrm{H}]}\sim0.16\,(0.24)$,$\sigma_{[\alpha/\mathrm{Fe}]}\sim0.09\,(0.08)$.} These uncertainties arecomparable to those of other methods with similar objectives. Despite the factthat \cosha{} is not aware of the spatial distribution of these physicalproperties in the Milky Way, we are able to recover the main trends known inthe literature. The catalog of physical properties for MaStar can be accessedin \url{http://ifs.astroscu.unam.mx/MaStar}.

CoSHA: Code for Stellar properties Heuristic Assignment -- for the MaStar stellar library