classicML/__init__.py,sha256=YpHIcmxYOtSisE6n4r1gwicUzHrPoACxr4wJrhflJqk,2216
classicML/api/__init__.py,sha256=D3fXS5qxP0z7OCApQSCVYk0B8sK0leO9gYG_SFmppDg,1080
classicML/api/models/__init__.py,sha256=N8QY8HpqfuJ1fFmcBvyvzgY1OEGUEhbqhg_liKEmra0,2082
classicML/api/models/base_model.py,sha256=AgOxwNj-TW2Th04a9KqRZwoQKLhFBgtrJroCIF5DvQo,2257
classicML/api/models/bayes/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/api/models/bayes/naive_bayes_classifier.py,sha256=PS2j_MJWJwkqhbSBOgg6FPcrepEdxCcN26Q-rayOSDo,12057
classicML/api/models/bayes/semi_naive_bayes_classifiers.py,sha256=aiqkL5n4G_mn9T5yKHkCXw5AszNNIJsdGJ8NZ5D9T3Q,24165
classicML/api/models/ensemble/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/api/models/ensemble/bagging.py,sha256=bQR_ltKdd86_l6EkphFdtuN8me0Mt_u2NwSZHChKrac,6041
classicML/api/models/ensemble/base_learners.py,sha256=lIM4s-cHDUJ75-UXmVNEEauxEAJGrbsuN7Vfcw1ga7U,160
classicML/api/models/ensemble/boosting.py,sha256=DtlqkcGgcIYSIo1-87BciqnWGRHRoqPOkCqyDLG5_Iw,7249
classicML/api/models/linear_model/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/api/models/linear_model/linear_discriminant_analysis.py,sha256=N5FDYFiScsa9VM8McL9wFYkVEVaJ3P2tH9iJAFdCa6o,4791
classicML/api/models/linear_model/logistic_regression.py,sha256=xi9XEL9FRjklWDX-JJWgH-tHOumR0DmJNPsIEcpXiTg,7125
classicML/api/models/neural_network/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/api/models/neural_network/back_propagation_neural_network.py,sha256=-Paiq7md-pq4PeHYp5eOkfk3o1pZ64FhFIDlnGwFHA8,8597
classicML/api/models/neural_network/radial_basis_function_network.py,sha256=36o5rhdkVVDrf0R-LaR6ZloFMSq9wjGs2qPJR-83q5o,7813
classicML/api/models/support_vector_machine/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/api/models/support_vector_machine/support_vector_classifier.py,sha256=ktGCGOyVKX845d67_nt8LHN3c8TrtVgJTvE8dI9KO7k,8876
classicML/api/models/tree/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/api/models/tree/decision_tree_classifier.py,sha256=_md6m5jdj4xcNbR75D5KZwRuhzMTNSXsUHXNhdT_R8c,13286
classicML/api/plots/__init__.py,sha256=aCne2oIXZoH-eBtcURx_b_kPDNoY_yE1qHbb5hxrYxA,760
classicML/api/plots/bayes.py,sha256=zLMhm1JWh-8EROsigtnBZhFiz4T2HJVVrbAHciRnQ4E,3207
classicML/api/plots/callbacks.py,sha256=gzC7ikOP6lN1ohoICRqD0yxxPK2pXI7vEo26EIIcYOU,630
classicML/api/plots/ensemble.py,sha256=SXJAcCWmOgt08vCCw5td4qBaWkI7RnY4UBSfbDO7ylc,3183
classicML/api/plots/linear_model.py,sha256=SvEjoaKh-RncQrFlLEiqc89Ax3is6FM6XJ9L5lmRbM0,4475
classicML/api/plots/support_vector_machine.py,sha256=jEseqqU1Bd0ZIwj6c7-8QfYypb4ruve6ab4QniRm7QA,2725
classicML/api/plots/tree.py,sha256=3DEoWkLhZB4u__FY7-EA3AyJRIxnuT3djeGQPvYAJqA,2990
classicML/api/plots/utils.py,sha256=_0ocrwInc-szqOR69yqmIpbNOH8pgeNz7FtWnEe2Xaw,4336
classicML/backend/__init__.py,sha256=j2TvAsOCVk3s6iKKYWRrkjCz-ofrexo0vT2F8TEB7KY,5506
classicML/backend/io.py,sha256=0w8STdnv_Psv3hO4N-PwQpM3PjzuLAjG-SUBLy5v8uM,3828
classicML/backend/training.py,sha256=3vhnDecvRcu56QbWd-3BNhcmq3fvqMeTR_sBnIGZ7cU,6729
classicML/backend/cc/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/backend/cc/_utils.cp39-win_amd64.exp,sha256=GRMd20KiloPAn6wgbCiGHvpFCqZDu5xn3r5q1cGtH9w,26783
classicML/backend/cc/_utils.cp39-win_amd64.lib,sha256=rmt-II61g2niSfrRHbyrAskBCj8EnNWDXW3GfWRVAQE,45862
classicML/backend/cc/_utils.cp39-win_amd64.pyd,sha256=UdkSWtk_Y9JTAa0RkmXYTjgQR4frqzI9ulzM30MLeEo,146432
classicML/backend/cc/activations.cp39-win_amd64.exp,sha256=ohfmevSsbQFkB-GFlhhvPpc0kIuJYRW18WUvB3NOSmw,26808
classicML/backend/cc/activations.cp39-win_amd64.lib,sha256=OE5xjwvtj2eZoP5-AuByDUf1qZcTM-p9_rry_ejAe2k,46556
classicML/backend/cc/activations.cp39-win_amd64.pyd,sha256=YT_eiZvDDxlff-7x_Uz_-VOmGcgvu34CdYwTE0LBG2M,200704
classicML/backend/cc/callbacks.cp39-win_amd64.exp,sha256=dnqzAOsvnRQDnE5RNsCdpYfK9b49JlTTCee2ChsQrvg,26798
classicML/backend/cc/callbacks.cp39-win_amd64.lib,sha256=4zYCJ6Erh727F4cIe9vm8E_8CZa5U9davpOaBCXw0po,46278
classicML/backend/cc/callbacks.cp39-win_amd64.pyd,sha256=9xXg24uEqzulgbSheEGJ69pMIrnFkhEtBhqc6miidlc,142336
classicML/backend/cc/initializers.cp39-win_amd64.exp,sha256=W4wRHq6pwY-2vqaTLlkjOm_qi5VSXmgjlqc9J4Inu8M,26813
classicML/backend/cc/initializers.cp39-win_amd64.lib,sha256=U-TVDDBg8yShNvGDnOp0ddsWK_jfsLP-DuGggSuYcFg,46696
classicML/backend/cc/initializers.cp39-win_amd64.pyd,sha256=8kBkEDSJSQBNfajw6UvgmWvvaO2AY1vc98ZQIgwvpqg,258560
classicML/backend/cc/kernels.cp39-win_amd64.exp,sha256=UYDoWJ9yG9wBmcVxJSIbIxwi3iIr1rvp_X9YPMf3SmM,26788
classicML/backend/cc/kernels.cp39-win_amd64.lib,sha256=_dh3UiBR4lf3t8nU9TBXEqRIDWK_qfK9y5oV3FQH0jM,46000
classicML/backend/cc/kernels.cp39-win_amd64.pyd,sha256=QoDbgAJLU4VzAMpelMR54dw6gI8HloF_FAqeeffz9ac,258560
classicML/backend/cc/losses.cp39-win_amd64.exp,sha256=x2Jz5p7Ap5KkuchWStPD1v1xxdIotMu1T7oe6wdCU60,26783
classicML/backend/cc/losses.cp39-win_amd64.lib,sha256=U11PgRcFD2lG45_Dp-SY3iDsEAZf3mw7w7jb7_iLp60,45862
classicML/backend/cc/losses.cp39-win_amd64.pyd,sha256=wRgEvVjZJr4Y0q-1Q4YbOG-eb41pa5U_f8olclcFkwE,250880
classicML/backend/cc/metrics.cp39-win_amd64.exp,sha256=zZvq62AD6MfaRabI_loql3U1dkSpGWDYz1BrlWM4XRo,26788
classicML/backend/cc/metrics.cp39-win_amd64.lib,sha256=f5GGTPR8qVZ3amshXQs_Gjh942VZQwutIjcZhVrZrRs,46000
classicML/backend/cc/metrics.cp39-win_amd64.pyd,sha256=CuB8kON7iMyVdo2nukIEg8FeE8fKIgB6pGCmW90f4IM,173056
classicML/backend/cc/ops.cp39-win_amd64.exp,sha256=lvCv0XG-CQFArRpWO0-OHCaqmd5gQD1aZPvorww8Aww,26768
classicML/backend/cc/ops.cp39-win_amd64.lib,sha256=GZfCTCZKwvadzh9W0l8Hi4xIutf1Qzc1YBxqnZHwNso,45444
classicML/backend/cc/ops.cp39-win_amd64.pyd,sha256=1FMsLNCHaUsso5XwJDt1IubDjVjaiuXzPcgik34ywVs,798720
classicML/backend/python/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
classicML/backend/python/_utils.py,sha256=nGTbSTR7ASIexRi4ZSe4gb9bIb_djcIXBiry7wjw1Ts,4047
classicML/backend/python/activations.py,sha256=SPx6JPy0_duoCC7f90BoLFKYqMWdZ2BAndtYSUn1eWQ,3946
classicML/backend/python/callbacks.py,sha256=Ews_mGNiFvWR4MdMDVUKHUaIhowZjin6ajV23kESYuY,1453
classicML/backend/python/initializers.py,sha256=eC5c9PfvjE9mvWcPKzIAN5zaNc_XAa7nXCLcCGy3Rbo,7183
classicML/backend/python/kernels.py,sha256=rlkTKBB1Oa4SGnOfMfgi_f2aorHy43FHP3VsKwos2HU,3849
classicML/backend/python/losses.py,sha256=3bfRH4bbjrtJqIkLEegmjm-qSKV_D-5qVj4TAe9mIMs,4238
classicML/backend/python/metrics.py,sha256=ngLGio0_etNHaJleSO7ekoxETY0fi3pmJpJfs3ovfvM,3690
classicML/backend/python/ops.py,sha256=l636Km1ulzu44yb4WnqYVYjD6hIwSBEZ_MzKknKwVnw,11842
classicML/backend/python/optimizers.py,sha256=Et-mlNApwwiBNwE4XgJnnUwDLdTazSCBcXvboT1ELSk,41692
classicML/backend/python/data/__init__.py,sha256=_Zjd4jueNBwquqMedAxltb0bkywzKf3iUEMzjCuX4Qk,323
classicML/backend/python/data/dataset.py,sha256=Fgt94a9rqcBbJVjP4-qAbPN5waTt2alPtt-gYYVXPv4,10015
classicML/backend/python/data/preprocessing.py,sha256=Vlyrlmvk9BzVGG3EPJfdXGqgtQngYgZIXsvjKaMs64E,11348
classicML/backend/python/tree/__init__.py,sha256=oYOD-4sbly-RJoLbH0aLLXbLun1O20mBDoSAS7bGyEg,255
classicML/backend/python/tree/criteria.py,sha256=sVc4zi9vuOHpy21MWtRmDJ-fEVOD02rmzw4hy8sCqC8,8603
classicML/backend/python/tree/generators.py,sha256=6FutOLLsj8BgYACTPCUeyL2srqsv_G-wtspjb5h9fXg,13648
classicML/backend/python/tree/pruners.py,sha256=bNUp8-klIMjNDHCLv0RIXuLYCFB7N2a6-HyRv0rhlMQ,13981
classicML/benchmarks/__init__.py,sha256=uAkxK94yZFm3s-agrHEeXC-dthircuQe4RxlE34-7qQ,257
classicML/benchmarks/wrapper_utils.py,sha256=UIfNqYv3MjdE6NqSC7Wc899owjIZhOYhbKJhEt_CtYQ,4285
classicML/framework/__init__.py,sha256=iUzj_tKd6N_sgkM0EZ-NG_A-LP2-2Wsei4rMBaGG0Dc,40
classicML/framework/dtypes.py,sha256=ov_Q0qWMOo-0cvQ1d-Li0FWiBGrdzS9tavSalbLgGlc,1100
classicML-0.8.dist-info/LICENSE,sha256=waJFoMdwZsioG-HiBhbMC8CVib8u7Dan3RSAk54b1-g,11614
classicML-0.8.dist-info/METADATA,sha256=8p_Sbv3Fj90nhyM1NQMl_vaPN8brlbzFma2QdP4njQk,4240
classicML-0.8.dist-info/WHEEL,sha256=fVcVlLzi8CGi_Ul8vjMdn8gER25dn5GBg9E6k9z41-Y,100
classicML-0.8.dist-info/top_level.txt,sha256=3KsNaLAP9dg1SVnkHPGSy5Kyrv0HWec8M6yD6D5SkvA,247
classicML-0.8.dist-info/RECORD,,
