mlhandmade/__init__.py,sha256=1bFQyrInsV7RwtCxZYu8oBonkYv_QyQY1Vkt-Z80KV4,381
mlhandmade/plot.py,sha256=I88heh6sr3NgBIgsUyVGp_hzB7oJJIAj53DoJel_C1o,4321
mlhandmade/test.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlhandmade/base/__init__.py,sha256=mLNx-Y7vN0wYOOJrTbNAOLw_77cV-f2wXhc_60cluKg,85
mlhandmade/base/base.py,sha256=enI-DMmGP2dC4jTBkbUGcMiGlrRVEgHzyFq4jSEyOdM,2626
mlhandmade/discriminant_analysis/__init__.py,sha256=IQReK9u0zTPURnqbzKOqEADHgM-Vj2tubCrJ_76fRug,245
mlhandmade/discriminant_analysis/lda.py,sha256=BT5ZQZaSgo6CpV1VMnf0aZJPdR4EcEEN8hxCxsg6ths,4077
mlhandmade/discriminant_analysis/qda.py,sha256=icenUdr12AZQqdkEC0xif3jV9MMDVf_LHRYbWeJ-i9o,2221
mlhandmade/kernel_methods/__init__.py,sha256=3e3vWXvTjLZMpV_SpXmLFsUrzPYtGpe39rmKVqLX624,571
mlhandmade/kernel_methods/kernel.py,sha256=5OdUXzmvlkeA7-dz5_zZvfg3t_mqnrAP7GaccPh23Wo,611
mlhandmade/kernel_methods/kernel_ridge.py,sha256=1USFopiJbvPf2FKOHT0PpMAzAijyGis4K-frZYPhm9Y,1729
mlhandmade/kernel_methods/linear.py,sha256=CE52ydNDXeCkg3EWa93UShCir43sQEyCV19bMdgJiMk,822
mlhandmade/kernel_methods/poly.py,sha256=YNktqerhUZNs6eOmm2IzBMe0v2tv2SljhQQKZL_DuNM,950
mlhandmade/kernel_methods/rbf.py,sha256=ccQxecHLy5r9fXJKPcDlyTcTZMUM4NFmbjjOoTFpaBo,1938
mlhandmade/kernel_methods/svm.py,sha256=sNdRPenckDxKLZ7SVF5Em_32vPHu-suus3OZ5DOcOl0,8471
mlhandmade/knn/__init__.py,sha256=K_JwxF80VJUbZxpgIn7Jf5HjduxTdgOmkNUeSpV4VG0,133
mlhandmade/knn/knn.py,sha256=HWIzz_xhqIRXpM4yExGqbl8fGQqjnSVvZgS2fAscrlo,4126
mlhandmade/knn/ball_tree/__init__.py,sha256=eRYMUXaSgUjh28pRtT1EyMCaCxUuDH3znT-4q3YuKLk,166
mlhandmade/knn/ball_tree/ball_tree.py,sha256=JHUU3auX5q97ZHa7Vgox2NsphW2N3hIlQvPaIBj-VTo,2572
mlhandmade/knn/ball_tree/base.py,sha256=FEklL6_g4B_rEsY2g2kLW6RkIRB3AoE3wTsuzVhYVSQ,3197
mlhandmade/knn/kd_tree/__init__.py,sha256=tia7UhMFSnnjHc903Jh3QO1SlearV4v8HT1yvnwLGgY,152
mlhandmade/knn/kd_tree/base.py,sha256=TY3OAxegz1v0RTH3tXsK_jO9vEFKSM7gP6WPCnBogXU,3615
mlhandmade/knn/kd_tree/kd_tree.py,sha256=xlQ84RT4DbfD2IwB8KnDD46H8nBpZrooTdrpjEDOf_s,2164
mlhandmade/linear_models/__init__.py,sha256=F1EuO2U3uIGJAYQZCR-H-JPrpaMB0MBf6YfHZAVLS7o,322
mlhandmade/linear_models/linear_classifier.py,sha256=Nq6mX1qiBNmnilFIq9OVn2luDkWDDIjgntkLr2LfsRE,3297
mlhandmade/linear_models/linear_regressor.py,sha256=h0-wOPXBkHWmbf4y_IfQUVL4t5s8Kg9Jhddd_7wTli8,4051
mlhandmade/linear_models/losses.py,sha256=enWyu2KmTiFBFPXM3xmJBKkJMG7JNZFzCC33z0z2mLQ,2909
mlhandmade/linear_models/optimizers.py,sha256=UImqK7cGR6SqoM6awVpj7Qvd5SoybXTI1iXCWKgpETk,2217
mlhandmade/model_selection/__init__.py,sha256=MeBWRwyOstgFQRra9eRMbynZCIshRXVgMbieRMbS7QI,394
mlhandmade/model_selection/class_metrics.py,sha256=tb-evDhpYPNTdbHNJDfveNzVRbZz89WJObaoX6VNMYM,4163
mlhandmade/model_selection/grid_search.py,sha256=iFiuLTtj3n6t7hoE_z2W3FoI_W3EEbRBpoVlhjahKYw,2559
mlhandmade/model_selection/kflod_cv.py,sha256=ZQKo0cFQ6_dWWA3PS71Sc6Fm_4kstynRmzLyw-K9T40,3389
mlhandmade/multiclass/__init__.py,sha256=VzHAtQgv1afBSbFqq_CmIzfGP-G9vB4gydWuBMqQD_Y,109
mlhandmade/multiclass/multiclass.py,sha256=FFF8PPa4ykQmRR5JZiuCM24uLeaXJC0hbj5z-mXxpHw,3102
mlhandmade/preprocessing/__init__.py,sha256=zA811Ui4kcta2qsObXpJWiATPsqfp34wywsb6f_2nrk,343
mlhandmade/preprocessing/data_preprocessiong.py,sha256=5FDwKwPjd-FNt0vCXidXPyktJYaQjjmhOzmIeslRuKk,1967
mlhandmade/svm/__init__.py,sha256=PkIC87MXK01fxcEKOMENbFs-XHzxzDgL-5WmAn0bk8k,487
mlhandmade/svm/kernel.py,sha256=5OdUXzmvlkeA7-dz5_zZvfg3t_mqnrAP7GaccPh23Wo,611
mlhandmade/svm/linear.py,sha256=CE52ydNDXeCkg3EWa93UShCir43sQEyCV19bMdgJiMk,822
mlhandmade/svm/poly.py,sha256=YNktqerhUZNs6eOmm2IzBMe0v2tv2SljhQQKZL_DuNM,950
mlhandmade/svm/rbf.py,sha256=ccQxecHLy5r9fXJKPcDlyTcTZMUM4NFmbjjOoTFpaBo,1938
mlhandmade/svm/svc.py,sha256=3DnRdS01e3RfTGZuZLzYookcS6H0h5Wb4VHFKNXy-Vc,3248
mlhandmade/svm/svm.py,sha256=M3vJULGPaR56XnsRvMjNxs8AgRkwm16XVEpOtpT5g_0,6887
mlhandmade/tree/__init__.py,sha256=Rv8S_2DXJa_AuQTztuiIK9YSh08iusvQ6yG9bouGq9s,171
mlhandmade/tree/criterion.py,sha256=l14jBadR2DVwm1ozYr_gl75c2sAACt-fPFNCskph370,1684
mlhandmade/tree/splitter.py,sha256=LvNDvxNOGu-er6F5GExbR3Ben-huMmhv-Puamywnz_g,1098
mlhandmade/tree/tree.py,sha256=2KSTOWrQ6HFhrKZ0EUR-7Aj4VLUkf7uyMFsNJVlfR6c,5943
mlhandmade/utils/__init__.py,sha256=yXVmV0dH-dyl2rhJtCA4tgdcbcRQpf09Vf764Zqq9f4,163
mlhandmade/utils/plot.py,sha256=TrwWRTtdEbUoS-e2SYBlBqQLj_mMbh-U-iYvnQIRyo4,4314
mlhandmade/utils/validations.py,sha256=e2LowUIRpaf704HxuCmWnOem48A0WMA1yVTq6V3xi10,966
mlhandmade-0.0.9.dist-info/METADATA,sha256=pqp26hdTeMKJtNMSH5ig2Tl65iezNBtPuUGuMhKwMQo,1534
mlhandmade-0.0.9.dist-info/WHEEL,sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA,92
mlhandmade-0.0.9.dist-info/top_level.txt,sha256=LQiIAKlNfTeV_AIoj3GRh8zTH_CcXdwNae9bFUXud_w,11
mlhandmade-0.0.9.dist-info/RECORD,,
