mlx_learn-0.1.1.dist-info/licenses/LICENSE,sha256=tl9UC5TB71bAnOcU7kAaF3ewJvIXwSjqR5BT_hKpq9U,11343
mlx_learn-0.1.1.dist-info/licenses/THIRD_PARTY_NOTICES.md,sha256=XaoCxgu5MDu0e7tQz8lCJ8ZBUTr_lFta0gg6yg_5Pk4,7792
mlxlearn/__init__.py,sha256=IZnh8Tw8PjmxEa5YHJboQgJbifGhVDaHH51JfVIJSjk,2404
mlxlearn/exceptions.py,sha256=W5tO_VSPkBVtPRDUBq7HTR1u1OuqSFnYjWWJ8bokHio,6319
mlxlearn/py.typed,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
mlxlearn/_common/__init__.py,sha256=c2qizj19H3RVfHapteU1bRWgXh8CqGIE8lCOpsR2dkY,1625
mlxlearn/_common/arrays.py,sha256=mBzBKDXihVp1xTMeVPGqvvou-S51JQeNeJrPZIjaRvw,5403
mlxlearn/_common/base.py,sha256=GZvKiS-3Hr2h7Ditace-UXJNOf-QPKbrPBHKFYShNrs,13755
mlxlearn/_common/config.py,sha256=kk6o8VhZii9EGOZKA2ob8DRcrwR-U1M2QlH2bDoOyOc,13624
mlxlearn/_common/device.py,sha256=-KPi6sn_5k2Zve1pb_5-QtFAWZZPwMGRBMdnXgTiznQ,5758
mlxlearn/_common/diagnostics.py,sha256=DmZ27vcWvnHZTGsecayNAN7hL_SqyF_3Y0HO-u5f49k,6767
mlxlearn/_common/preparation.py,sha256=HcZ53sPWkxZadiMPUyf-k0GHL-waz7dVK7EduOKAlY8,3211
mlxlearn/_common/rng.py,sha256=Wku6TyoDEIwxRnaSMQmGEHoReJKL1bqyDSWAN_8Qr-8,3867
mlxlearn/_common/validation.py,sha256=mX35h6K4V7K8W3LBL13NYtw1aegKkL3zriY9-sBC6jo,10454
mlxlearn/_kernels/__init__.py,sha256=CiInaApq-30JpZbwqqtO9mcf6eWBaXOdHMOp4yw7Bi4,355
mlxlearn/_kernels/_neighbors_cpu_native.cpp,sha256=07EWzSyVyNKtBap95OO1qCdhaTt1d6pvevv-TQ1bW84,41348
mlxlearn/_kernels/_neighbors_cpu_native.cpython-311-darwin.so,sha256=-fqL5us63EwkAScXETfx-OiScopY0CYX2RqVFRiT0-c,73128
mlxlearn/_kernels/_svc_cpu_native.cpp,sha256=rSv-E9F7zj7kI3fXq5BRganZz1ZJgL-rIi_L_XW7RJM,21854
mlxlearn/_kernels/_svc_cpu_native.cpython-311-darwin.so,sha256=Yo4Yc1Re6mqcX5wlluGXl1uH8GV3CAAAFixcaqr-ZTg,72296
mlxlearn/_kernels/distance.py,sha256=KFfJNDAx4o3iE0BrbOusluP6E9hqVdyWonIFe9BxxNU,13848
mlxlearn/_kernels/kernels.py,sha256=7qUBDLCxYDRvo8dacko-I9yC6j7S_imHf0mnoMaNZXs,21586
mlxlearn/_kernels/logistic_input.py,sha256=XwGAumIHb5iZ-vyjWfZ-BPUMeW_r0hEeo7NhDm91jvs,6596
mlxlearn/_kernels/neighbors_cpu.py,sha256=PklV665K4MZO6Mgdf8rNkd6k_R9g6N-_ZSB6U8OFSyc,23581
mlxlearn/_kernels/svc_cpu.py,sha256=x2ebA7pIYIOzWRa6ncCQ2sufl9FAIlxPHUZo0BPETyk,4212
mlxlearn/_kernels/svc_fused.py,sha256=zLfbOHrIBn31AipiPwuMHMMR8Y7ZIwIR219585Z7L9k,8052
mlxlearn/_kernels/svc_predict.py,sha256=rY3-aRG52LW5JB4FcdM1S3dnmQUS8mk5WoceMblEX4w,6848
mlxlearn/_solvers/__init__.py,sha256=l0-kTPeXXU-mPWqdMEIZ3eQ72G68scFRx2MLChxP2ss,470
mlxlearn/_solvers/_metal_cg.h,sha256=scZyTn9TZDshYKJ2Yv9dn5q3Os_622W62AR8ZwzQiK8,9233
mlxlearn/_solvers/_metal_loop.abi3.so,sha256=H4J6JlOE-aJGlegdvd7B0TxDom8wNx525UGYsByBVdg,130032
mlxlearn/_solvers/_metal_loop.mm,sha256=7Vt1sHTZ8BUQM9f_n7UCrrrCo1q14zlAX9_NUlqGMC4,34891
mlxlearn/_solvers/_smo_block_native.cpp,sha256=23QD7OJxZiAjPEkFoVAVHQDlPYUx_nt5c2e0l2ue-gk,24473
mlxlearn/_solvers/_smo_block_native.cpython-311-darwin.so,sha256=U8KuXv56WI3qmw0h74o0dClw3Www9JY54n5zFyHZmzw,94648
mlxlearn/_solvers/_smo_native.cpp,sha256=dVYMcP8Y6gOTZS3lg4WN-5JRBT1Wy6q0P01vgTiPRZY,18727
mlxlearn/_solvers/_smo_native.cpython-311-darwin.so,sha256=4OsJPGWq1uCSjO6ScZorP_pyqFR5szEtuv5zmUiznc4,56176
mlxlearn/_solvers/block_smo.py,sha256=54gMKfZjTuevhzvHZjbRYd5Zs__hN2xuPVUAtHnlJu0,2653
mlxlearn/_solvers/fused_lbfgs.py,sha256=1ZDZ96u8okppGYgWV1aA3_HtMsWsbOd4nrNvW6OyfD4,8017
mlxlearn/_solvers/lbfgs.py,sha256=9a59Yzzn1xQUPDJD0HA2VyndowKv9Jmg_wJ_ay5JY3Y,20839
mlxlearn/_solvers/logistic.py,sha256=eSTPkX_uynivk1SOWiDSigDipYlcoERvTaIRLNqp3gs,52902
mlxlearn/_solvers/native_command.py,sha256=Ucf2M2tPE_An5pbrBEUCoUnL88uuHlJ0RDDM7PMlwjs,13737
mlxlearn/_solvers/native_geometry.py,sha256=islHcwvnpy4lCBbVIDJZkZoif_zbIRvxZ5PwJxYbNXg,2490
mlxlearn/_solvers/native_logistic.py,sha256=Fpc2IXMO22tL8lMR2HakE_ZLaeUG_hm1y1YiZTb_xXc,33017
mlxlearn/_solvers/native_logistic_fused.py,sha256=SxZC7ZOs3tR9i6TkLMP0NJrGNavOnxEj2OIf-KFAgBY,11605
mlxlearn/_solvers/native_smo.py,sha256=mqkJUUqEVswQWXS0mAzWg1s5ZYFCTQNc3ru3bCw2dDg,2451
mlxlearn/_solvers/smo.py,sha256=40dRprpf9e3faNjv3sQ5HrrpOS4duxXSAZb5FXLsFPk,16640
mlxlearn/linear_model/__init__.py,sha256=6hRWZFpNWWLhYWoCNKAS4uMx3TdQNlZE-mzU0hqqEpM,638
mlxlearn/linear_model/_logistic.py,sha256=hPAK2EfCOJkHbWGUlJURrYWkhXl7BUfrGKGPhfRWCGE,26934
mlxlearn/neighbors/__init__.py,sha256=Lxjzhkuk6gIppMIxfgYS2i-kWNrvfSinqI8-OC-5UbQ,582
mlxlearn/neighbors/_base.py,sha256=yyNWWZLHblCMY4alF_8n7WSIn6WZl8TdsMvVMb-_zOc,28383
mlxlearn/neighbors/_classification.py,sha256=4pe505zaQF7dBy9Bi_iayVQOrNqDid8QpZwQk6xtYXY,8757
mlxlearn/neighbors/_regression.py,sha256=fDWHJlmJim9Eyv4tjg5b3CXaVlStzMd_UCpSbk191us,3601
mlxlearn/neighbors/_unsupervised.py,sha256=vYmsO1iVYcpO71Id-BPTtMe6AMdADzofOA1reoq93mA,4399
mlxlearn/patching/__init__.py,sha256=Rtqg2cPYomtACQfjQhpV3iOccDLvdTf9G5Va-F8A1VE,901
mlxlearn/patching/_estimators.py,sha256=-W9BezzV9jD4T0mf6KExegCMSVGyQa_DkoUW5Zl9wKc,4250
mlxlearn/patching/_patch.py,sha256=iJ6t2LyA39rjAXCWRGuOdmNw0gCmcul6BnwmUv4kWXA,9266
mlxlearn/patching/_registry.py,sha256=vQL1Q2-LYtKPOg7KGsp7yeme7THpFW7shEgFaV3eXhY,4824
mlxlearn/svm/__init__.py,sha256=P-xjVQZ1wEgsa52ijg3MX757nJJmK84eN_Ltyk9evWY,517
mlxlearn/svm/_classes.py,sha256=KjD6EG9ZK78vf6A72IyP596HEGrrcFIRF6PCN1K3uFY,38937
mlxlearn_device/__init__.py,sha256=phsOl5E_6_PRALAq4mZYqP9c7kSESuk2lwqR5yj-sO8,1079
mlxlearn_device/_compensated.py,sha256=80lLED3jv56FSUEtOxikMof6XAPAhQITjhi0U3rV0V0,9970
mlxlearn_device/_duality.py,sha256=FpSq1o_lZdaV9sN5U2LJ470Cwi2LagjBjGyCMXhqoE4,7328
mlxlearn_device/_hessian_vector.py,sha256=ddqnPIM6JtZyKxM14Dqix-7HzOnn3_-GV8DfTE_O6t8,12821
mlxlearn_device/_logistic.py,sha256=PF4PnsKqFPr6d06nKq8nrikJlYmBQx7pE6CNmd4wTwg,23804
mlxlearn_device/_native.py,sha256=pJQlxkfatDzDHqPSlZDueRz6ayE40VXCwVuSS05nhp0,2249
mlxlearn_device/_native_cg.py,sha256=sy-pUI9jTJCexcPpoXJiRmAUx0YCwQJhcErb9yea2ps,8439
mlxlearn_device/_neighbors.py,sha256=KQdxz6y2yYUqY193f7wb_lnSDKRqeGkebbD5CrVJQ98,22688
mlxlearn_device/_neighbors_compact.py,sha256=yUKL9ajGw5jbJlU7EqYJSxIFZ3hRw5GAwJCB6V2b6Z8,15404
mlxlearn_device/_neighbors_fused.py,sha256=O4jxKrE-wCQZMn8yppw9N5TA1UeHzb6mVlATmNScPWE,32231
mlxlearn_device/_neighbors_general.py,sha256=a4ZtonDPmZUtRAKaM75ueTBVZrdLXoWJCqI8AflScm0,6518
mlxlearn_device/_neighbors_integer.py,sha256=LXUNRY1nPwLJdoqu38u0gDf6zxjT2dNkY5hxoHKsNX8,16865
mlxlearn_device/_neighbors_paired.py,sha256=kn-EcLUK6Y7r_l5TO_IVqtOFcm3CCsTG0zMp9PS5ylY,1764
mlxlearn_device/_neighbors_precision.py,sha256=llaidhd-sknaBzgoVOXPp7lyy7YJiZGQpLkQMtd9fOo,13347
mlxlearn_device/_neighbors_registers.py,sha256=Yt85XzsXO4q04No6xjuOkEwxsEgTu5wWYtMNSdijyS4,8878
mlxlearn_device/_neighbors_screen.py,sha256=bCmFxEznYrWBJ2osLICkV9avSZM7Y4L471dLX0Tu83o,8889
mlxlearn_device/_neighbors_shortlist.py,sha256=U4EW8nsQz02ZUCdUahWRi_CqZP-mi0RHT8Fhkr20yjE,7312
mlxlearn_device/_neighbors_small.py,sha256=mCmMAIZpp9osucvX2kwiOvXBKvRN6Hn1XkrS4k4E8YI,8814
mlxlearn_device/_neighbors_votes.py,sha256=40sI5ddy05wmDybaoxOZttiPnRP0ox71MaQMx26ZxZ8,9301
mlxlearn_device/_newton.py,sha256=NIzzK_W-rc3TyPVryl22mfnixq_TrroC8Bjv_BNxzn4,11898
mlxlearn_device/hessian_sketch.py,sha256=V29rtJqkUgu_MY7iSM0_Mqyoc-eZxuIWoJgVXYsu1rA,6825
mlx_learn-0.1.1.dist-info/METADATA,sha256=Z_h7aMxXFnxx0-9u06YZqzV8oeM42ufAd3N0evv1DCM,31089
mlx_learn-0.1.1.dist-info/WHEEL,sha256=Yyp1b7AvS34uUnOSQFECUeOhR71yoeDzoTn4OVwZOvg,109
mlx_learn-0.1.1.dist-info/top_level.txt,sha256=M6NtLtf9BniHKn1M1hQOFzxu6CFhoZigtkWAtk9fpMc,25
mlx_learn-0.1.1.dist-info/RECORD,,
