src/information_bottleneck/__init__.py,sha256=rxxgPw3yhJ5hVJh1RSEBhw8WO2Wm5sAkOe25YlSsc_w,8150
src/information_bottleneck/core.py,sha256=o1L2e0r6aqMYv7XVLT7kJJ8hJ9GBGp5hNcOuCP_b-4A,19988
src/information_bottleneck/core_original_1472_lines.py,sha256=n6Q3xjeo3Qduv3MdnOrAkKP1GiuqgnNhOuF-IJvH4eI,65720
src/information_bottleneck/deep_ib.py,sha256=Lu9jqlRlNonuldDIhKXT9k2lCvC8EXpVzWC55OLtNQg,18591
src/information_bottleneck/evaluation_metrics.py,sha256=R6GI9Tov1KGp8hS_y0KZw9E67UtyrjzeMeKPftZfSEQ,29025
src/information_bottleneck/ib_algorithms.py,sha256=xeU6zDeoVkx4ZH_EoiAaC295k0U6euv9st2kEKggFMA,23352
src/information_bottleneck/ib_classifier.py,sha256=3I5C9J2mX6vdUW15ylAllWBHL28bL7avY0ay-euzdkw,22667
src/information_bottleneck/ib_config.py,sha256=1fHYwbyq1dAVZHmpx9uKbzYfoQOUrKbbCTxJs2N_ogE,4958
src/information_bottleneck/ib_optimizer.py,sha256=3gW5yYsLu6Z23mjHlb85jwWRuvkz1OrT_TfOHnBRsJU,17812
src/information_bottleneck/ib_visualization.py,sha256=53FoY15G1xT8LwlIpE0I6TsdOq_K-A9P6XLI_P4xPIs,22515
src/information_bottleneck/information_bottleneck_wrapper_backup.py,sha256=LPT4r0MMSuH3I58b3XVaLd99uIMmwwJOsLilaMQEjTc,353
src/information_bottleneck/ksg_mi_estimator.py,sha256=2dNFgY4mwGGgQCzn99Cd2pa6Z7qGIDNbZihRptoPbFo,56308
src/information_bottleneck/mi_estimation_config.py,sha256=fNd0sIfLO-0AIRHchBvawtOv49unFFo2vqT5PPk7a6Q,21577
src/information_bottleneck/mixins.py,sha256=J6gl9TphRBwDoGqsMh-w-rEi7s0XuObRP4uZannI9SU,31869
src/information_bottleneck/mutual_info_core.py,sha256=kP-XUZJKmugP85ki3mCRe3VdIxwIGqvSiCQD3vVVCyA,16715
src/information_bottleneck/mutual_info_estimator.py,sha256=B1f07VOsyms_ipRgBh9beKbKov4KOTqFlcT7HMv5vQw,13667
src/information_bottleneck/neural_ib.py,sha256=B3kGLDmiok4VjLnONEiLde5l-hDvGvWSB0z1aTWvaYI,18898
src/information_bottleneck/research_accurate_solutions.py,sha256=8HYBo3VtdbEKPdGmBM1WLKAIzZPyJifSpmkCWvwhLvE,17360
src/information_bottleneck/viz.py,sha256=G8ZFVWDPNNC1OIrVZVyupME2HwQzf2c_A7rw-SMHNm0,35474
src/information_bottleneck/config/__init__.py,sha256=2EbBNTG6yZiN54imr7_lvKmX_oe-CdUhIhmTYe7ejIs,823
src/information_bottleneck/config/enums.py,sha256=_oTcU5oS0yTF_MUwdsMXj2msvY0COSaZ3myVRQFk9NQ,1174
src/information_bottleneck/config/ib_config.py,sha256=7Rg47Oi_aNwM3sDXD5B1A7PvZkX5raDkFTyL8k1T-dc,5888
src/information_bottleneck/core/__init__.py,sha256=6yGgGZYE2QlDFFclTIDUOS5ureQdgB6B4cqnifc_DlM,771
src/information_bottleneck/core/classical_ib.py,sha256=_DVgAsWYJ28yPX4v1DcchRrJcRN5U3yhTgU35GCZadk,31145
src/information_bottleneck/core/deep_ib.py,sha256=MNHV7GFozUOOKjj1Y1Bp7TlAbEQduVUt97-x7beKqL8,12362
src/information_bottleneck/core/ib_classifier.py,sha256=8woLaM64ZFvlzGc3AFSBSl1oObc1s9suUeO7Y22EpWA,5723
src/information_bottleneck/core/mutual_info.py,sha256=sGNW83treaF8AQiRFDxVEAjEMoIH7UB5cM2X2XmSwCM,14202
src/information_bottleneck/core/neural_ib.py,sha256=xiQYEVibiKvd_6EdmMwW-g6xJ9bMkx9iBK-yB9_N8PE,17758
src/information_bottleneck/core/optimizer.py,sha256=6dofoQh4z0lHpCFC7uOZl-tRfQjV4yFvjRBzFz1bGXw,15368
src/information_bottleneck/old_archive/config_original.py,sha256=mLxXz-KuOdB6cRNkZ_EmR2_5J-i31dmbHz9EAgJG3-g,33556
src/information_bottleneck/old_archive/information_bottleneck_original_3199_lines.py,sha256=wTehoH0NxBtrD3bOmIzXDAL5En7ZBsj1rA_u9QdAt-E,157406
src/information_bottleneck/old_archive/utils_original.py,sha256=C_09ILNzHbWd7y_CL1rTnDB_Cm_k1zhN5_TJPG0LiqE,31909
src/information_bottleneck/old_archive/ib_modules_original/__init__.py,sha256=uMTRo7GRl2Ik9j_8PPLZJWad94zoi9uflwMnGOKYc1E,3269
src/information_bottleneck/old_archive/ib_modules_original/core_algorithm.py,sha256=wNaXH_ABJ8kL2pcL_u_Bs1kJmV-6HGLUWQOhYvPwCeA,35582
src/information_bottleneck/old_archive/ib_modules_original/core_theory.py,sha256=JTHQS-ks2Uo6V4mg7LMe9cRv3AR8__WesCq84FMwf8Y,35290
src/information_bottleneck/old_archive/ib_modules_original/evaluation.py,sha256=vXIOGO-FRsrPyry_RgXQUEX8KcfpQxSGMEHOL0ow7dY,40571
src/information_bottleneck/old_archive/ib_modules_original/information_bottleneck_core.py,sha256=rxKtmS3Jq1gZvt_v5eJiImNJIhW4IP4INx6c9u1TMu8,112877
src/information_bottleneck/old_archive/ib_modules_original/mutual_information.py,sha256=Uc6rn4DDghSQQu8Kq9uNBP1IONry8BbdZv-YPpaUiro,34458
src/information_bottleneck/old_archive/ib_modules_original/neural_information_bottleneck.py,sha256=45VfdojukFRoqX3XFRE9_kFSWSVD8H9K5bkV75JeifM,24223
src/information_bottleneck/old_archive/ib_modules_original/optimization.py,sha256=g0jxVkSPjCymrMK6S3lM84GpJrP1mpDWbR_5-vzrwCk,49377
src/information_bottleneck/old_archive/ib_modules_original/transform_predict.py,sha256=tCc7SHv29i8qpp86ROYeFzVCrDGNWKqwIc85dIHi4xQ,35220
src/information_bottleneck/old_archive/ib_modules_original/utilities.py,sha256=Nx0IeIBANiAXh2kg5d0xArHhAdHsT40Ry_fT-rQzdRE,18591
src/information_bottleneck/utils/__init__.py,sha256=3_ztoItOjwGflUp-xppUjkPBYHFE1ky4eJlmiUV2dzE,1162
src/information_bottleneck/utils/data_utils.py,sha256=i4aC8_GTwPnOC1uyyBRDLL3MQeP9Hpelj0iGo2IDMAs,10261
src/information_bottleneck/utils/math_utils.py,sha256=CuMPVBJv2jKmAwcbNZD9_xzouBv9fisZIziYqnUfY6M,9498
src/information_bottleneck/utils/metrics.py,sha256=9gjcPKn-qM9t0uxlvN_-tjj2SGedlHvnDhVcFW7pvwU,12506
information_bottleneck-1.2.2.dist-info/METADATA,sha256=DW1KwcfmNU0uOlKEi5kHhujfQp2p7xIrvRYuZD-D1rQ,16890
information_bottleneck-1.2.2.dist-info/WHEEL,sha256=qtCwoSJWgHk21S1Kb4ihdzI2rlJ1ZKaIurTj_ngOhyQ,87
information_bottleneck-1.2.2.dist-info/licenses/LICENSE,sha256=WLDLGyhrMp4_1KZvbVphF9on6WnkAoWYm6Dhp7tcXZc,3289
information_bottleneck-1.2.2.dist-info/RECORD,,
