{"shas":[["f4b1d9aba1b06689a8b1f79d1b08cf2ce0b3eb97","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","implemented store_model_features() to make DistanceMachines work with cross-validation","Heiko Strathmann"],["786170294fcc418439d9e9c7088cb43b51318d11","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","store_model_features now does nothing here","Heiko Strathmann"],["45eeffd2003a7624a053b471f8f21fd19b577e48","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","features are needed for apply, so overwrite store_model_features to duplicate feature data","Heiko Strathmann"],["0186cd3adb0da5d38d141ac3e58a0502e8847ca5","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","fix compile error","Heiko Strathmann"],["4c7d0c8de60fd3e7d9f5ff73b28c9755be404978","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","added (yet empty) store_model_features() method","Heiko Strathmann"],["9953ed428e8a86b7dfb7927fc523683bfdf03a4d","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","-removed mus variable (cluster centers)\n-train method now stores these centers in lhs of distance","Heiko Strathmann"],["9f2384dbef76c709de42fdbd7074f12f1204b240","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","train method now saves cluster centers in lhs of distance variable","Heiko Strathmann"],["fe430917a318b2cae166a91b44f251e64c7e0514","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","implemented apply methods","Heiko Strathmann"],["5452f738ea6a0b9e09041dd6c362f88a2a9405ed","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","comments","Heiko Strathmann"],["0d695d42d18a8c5d027dd9dda9a63f85de48ffd2","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","towards model selection for distance machines","Heiko Strathmann"],["1605cc2ed0cbcb005d22e965b9c3fe3d8c6d596e","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","made store_model_features private","Heiko Strathmann"],["5c0d80524f0dadd53e40e2348226e16d70858dc9","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","store_model_features now only copied lhs of features","Heiko Strathmann"],["f1230c3e5f2423e51d990fb9ebd33bfeabc2578d","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","-applied distance machine changes\n-apply and store_model_features unimplemented for now","Heiko Strathmann"],["161890e9deda8b7a07119925845d043783ec081f","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","-applied changes of distance machine\n-some internal changes","Heiko Strathmann"],["c7959e041e2c35cef22c9d4d95ff938be65c66c2","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","distance machine now has implemented apply methods which asumes that cluster centers are in lhs of distance variable. Simply returns cluster label with min distance to provided data","Heiko Strathmann"],["19cf81b12cb151df1e36ec7d5f070b9db2262bab","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","added kmeans example","Heiko Strathmann"],["777e758c44f25ad6072402c74096eddc5eb2c31b","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","fix reference count bug","Heiko Strathmann"],["b2a3a7d3741249eba57db84269ab32ccb2f9ec61","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","added ASSERT for indices in compute()","Heiko Strathmann"],["94ca93ca4ccd631d6b2573fc8e99a4abf7e16757","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","-added ASSERT\n-reference counting bug fix","Heiko Strathmann"],["b0be93e727462a87419056b48ac4d0fc17a18bc8","e9e66a309554b033264dbc91ca826ecc221686b0@gmail.com","updated comments","Heiko Strathmann"]],"ref":"refs/heads/master","size":23,"head":"8f35bbc620a5e7178b2fe1004945fc006354431d","push_id":38232560}