vishuml/__init__.py,sha256=IPS-HCPq5CnBNxTClgTRMdkGW_qFcPb1I_t_BP38rG8,896
vishuml/decision_tree.py,sha256=A-XoCvqfha_C5P7duUacnEz0GVI4JB6nJODm1OOdf90,11575
vishuml/kmeans.py,sha256=HOZi_VuS1OKWUSlPPhB9sXvE8d3CeZKBJ6V7fSMT1ZU,10635
vishuml/knn.py,sha256=iKIaha7kLAzekjEwdS_WYA54iBY013uTwp_OBERpUjo,7531
vishuml/linear_regression.py,sha256=B2fE9_PImYusmq5cTJl_DIAojspUweHV1Fb3Xmja6Iw,5185
vishuml/logistic_regression.py,sha256=HINrV9mVXXbE5folFO8USLii9JfUAb36KR9H3cYVKC8,7415
vishuml/naive_bayes.py,sha256=83voGsns7axwXapLIpk9pCgGF4cZrOZCpKdpzKxdlxI,7892
vishuml/perceptron.py,sha256=cjWCQq9IGAmhVc7moJou9PxCeN13B5HHR_cxdy3MhoM,7367
vishuml/svm.py,sha256=xAOEjbWRyTYHxF5IvRmRSU0U0k0feaL_COrLybjLHKE,11540
vishuml/utils.py,sha256=Y70NHiFq6LqN3ExZvBpZOnccWzfZuK_oKXyPY3K5ZNg,8692
vishuml/datasets/__init__.py,sha256=wtufPrBCCRVGsLL1sMWDa0kws6v6y9393ZA2dC1pH-o,1918
vishuml/datasets/housing.csv,sha256=OVuFn9i4bVcOCSJA44RbRtrz0GhpVJFP8jXRqmmBFf0,431
vishuml/datasets/iris.csv,sha256=3x3ACC7hZYWHlTS1KHE9R6Z1iAVASkoNiIJsgl91P0U,818
vishuml/datasets/wine.csv,sha256=Av2inZxSCnfGa6zw4w3j2U_EzJ6vMURRDLW6i6nBpTk,540
vishuml-0.1.0.dist-info/licenses/LICENSE,sha256=wuONs_VXJUSygLACleTLD-bmDrPyNMrZziQVnqiAkHQ,1062
vishuml-0.1.0.dist-info/METADATA,sha256=6MuM2BnNQz-4cauBMpy5Z0u4_Csz1ckwHmhLoPY5HOg,10545
vishuml-0.1.0.dist-info/WHEEL,sha256=_zCd3N1l69ArxyTb8rzEoP9TpbYXkqRFSNOD5OuxnTs,91
vishuml-0.1.0.dist-info/top_level.txt,sha256=VI2__2qjPdntsD8vtRLZAVFrC9Y5AVG2AkOD99r_WLg,8
vishuml-0.1.0.dist-info/RECORD,,
