Path |
Digest |
Size |
lumin/__init__.py |
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525 |
lumin/data_processing/__init__.py |
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203 |
lumin/data_processing/file_proc.py |
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|
18195 |
lumin/data_processing/hep_proc.py |
sha256=Z4l-DDj_zdd7Z6i4EuUotINDCgIAkZUpj2plmOYFVCE
|
23648 |
lumin/data_processing/pre_proc.py |
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|
7408 |
lumin/evaluation/__init__.py |
sha256=o6lq3bx8MnrHYZm4Ehme8Udu829CYULSRj6RtNh9hws
|
75 |
lumin/evaluation/ams.py |
sha256=QSZUw-R8BUnfbhqbNpLQLGpjRNJ1gVs1sKeLTWxeleQ
|
6230 |
lumin/inference/__init__.py |
sha256=LBZPIw03wOeoEC4NHPzztRBZJHbzcCWqNdG_kS6Mhxs
|
93 |
lumin/inference/summary_stat.py |
sha256=cR1RlHghJyn9yHjgQ1ycIRg27A8RPdQh5cMcNg9Zn8E
|
2861 |
lumin/nn/__init__.py |
sha256=vBgDqJnF1xtLWvZ7aWspc17YtK4v2IwAcRiBfR3idY4
|
576 |
lumin/nn/callbacks/__init__.py |
sha256=BcmN3DmtVsf7cZsI1tSW8eqT9QM6PTeG6mxXkk5AQvw
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381 |
lumin/nn/callbacks/abs_callback.py |
sha256=LKhmFluX9WexqWzGYCr93XRovdmtURxFU54QFE5dx-k
|
1114 |
lumin/nn/callbacks/adversarial_callbacks.py |
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9912 |
lumin/nn/callbacks/callback.py |
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1402 |
lumin/nn/callbacks/cyclic_callbacks.py |
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18221 |
lumin/nn/callbacks/data_callbacks.py |
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9385 |
lumin/nn/callbacks/loss_callbacks.py |
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817 |
lumin/nn/callbacks/lsuv_init.py |
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9202 |
lumin/nn/callbacks/model_callbacks.py |
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8050 |
lumin/nn/callbacks/monitors.py |
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|
22517 |
lumin/nn/callbacks/opt_callbacks.py |
sha256=JWGSAHJGdThff5GEpWR9nNe1cKHiOHhrEZf9oV0wLqM
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3660 |
lumin/nn/callbacks/pred_handlers.py |
sha256=CIJSbmmvuMuoN1sk3SJixIMBil-5Mdj4jD3MPlIjQZY
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622 |
lumin/nn/data/__init__.py |
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161 |
lumin/nn/data/batch_yielder.py |
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7777 |
lumin/nn/data/fold_yielder.py |
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39973 |
lumin/nn/ensemble/__init__.py |
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lumin/nn/ensemble/abs_ensemble.py |
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1522 |
lumin/nn/ensemble/ensemble.py |
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26590 |
lumin/nn/interpretation/__init__.py |
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lumin/nn/interpretation/features.py |
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7833 |
lumin/nn/losses/__init__.py |
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160 |
lumin/nn/losses/advanced_losses.py |
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5550 |
lumin/nn/losses/basic_weighted.py |
sha256=dXOTIZnoFZ_8_z1yBI_zpQhUe2SlCNNt9jy6t5_JB4I
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3439 |
lumin/nn/losses/hep_losses.py |
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2195 |
lumin/nn/metrics/__init__.py |
sha256=DU0MVr1D7JeZ1DBJgYY2ZBiDW-GUUITDbGVIf29VsYw
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211 |
lumin/nn/metrics/class_eval.py |
sha256=3pgZAMi0rASS727kW-lDbkOp2K8tXLLRqiZEGVtTqzw
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11608 |
lumin/nn/metrics/eval_metric.py |
sha256=jC-DAQoPo6Xu3APX0lEwp5KHqnz2KaLi3FGaHWNLtq0
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8522 |
lumin/nn/metrics/reg_eval.py |
sha256=up0uHeQyGkLCfInVA0VEK87cvCbDelO2JoZNEK7aTAg
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6166 |
lumin/nn/models/__init__.py |
sha256=N0S57ARf21yDJWM8tc1vlc8OfBNCzcpvo1m7ujMZtMA
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275 |
lumin/nn/models/abs_model.py |
sha256=lKoS3EE3BYVuO34LUINwefNL8bPmqOCRooPNFieIP4k
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1338 |
lumin/nn/models/blocks/__init__.py |
sha256=wwiw6btHy1mEbw_f534UKDYuX7A47aU1KX4JlzPkqoQ
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231 |
lumin/nn/models/blocks/abs_block.py |
sha256=yuiZYMrWa8nuBrtM_8uv7GcMWiyxxFRbQwrj6vr92DE
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1729 |
lumin/nn/models/blocks/body.py |
sha256=NqJTLeTAeQMIF4GVxiorEz4Zf5ZHx6TCoKkvTqc0fxk
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14916 |
lumin/nn/models/blocks/conv_blocks.py |
sha256=JYNhOx29bwV8I4K4o5eBq0O1qMh0ZSGe3aV2I0BOBlE
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20375 |
lumin/nn/models/blocks/endcap.py |
sha256=1cDTvRkwCuYv5onkFGVv26r5xbcBZQRLf5E5DRwEyJQ
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1767 |
lumin/nn/models/blocks/gnn_blocks.py |
sha256=9I9CgHXVZch92p9iW_yPoJWOIbilP0YeaTdhdL83aNs
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32997 |
lumin/nn/models/blocks/head.py |
sha256=jvy_g6bn14fmB3NgPe8-Np6FBFoHUkynYz6_KXTXzzo
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68305 |
lumin/nn/models/blocks/tail.py |
sha256=_LUBX7hBLCrVdbDNFT2ME8TZtYic4NyXYPdkSuSC7Rw
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8152 |
lumin/nn/models/helpers.py |
sha256=8qhi7s9H5wPoyq2QGNxq9MnjkWFkoIclEB55Oi22cbY
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5664 |
lumin/nn/models/initialisations.py |
sha256=ifct9E3yJxci5BFFNFZW1ohyiKuBh9KeiuQcIK0qzOU
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2649 |
lumin/nn/models/layers/__init__.py |
sha256=ucpXJM_7FNInl5C_MBOHMGCAqDgQEnWtHbvW-84KAAw
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91 |
lumin/nn/models/layers/activations.py |
sha256=xTWwvaPT7jIK2y1F0Xr8XbAp2vRjmprB9UYqOnp_jA8
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1622 |
lumin/nn/models/layers/batchnorms.py |
sha256=rpdn9ulJnrdwGmFOUDP8DC9TOoJ6RFijSXETra1MNrk
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5370 |
lumin/nn/models/layers/mish.py |
sha256=JbipFODx6A_OBlJIqegT8KUZo6WjH1toJhUBHm2RbxE
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2299 |
lumin/nn/models/layers/self_attention.py |
sha256=0PSepwVi8g_Uv2qUmb2bBEVQGrsqunPlHEX6r8jnBBY
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4611 |
lumin/nn/models/model.py |
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26768 |
lumin/nn/models/model_builder.py |
sha256=de1UsptTYQdPrlhOxIuxgVMCMlzcmfulENhv98a_-0I
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18156 |
lumin/nn/training/__init__.py |
sha256=Xmo2gasWbg9JkTBt2WIwtZYB4d0UdcGsoovWTdh1R7A
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lumin/nn/training/train.py |
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10976 |
lumin/optimisation/__init__.py |
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lumin/optimisation/features.py |
sha256=1F30Ldv-4GHqTabbMLrdijZphlvUBGchimQXoJfX8ag
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42903 |
lumin/optimisation/hyper_param.py |
sha256=w2EuIGhwM4zk07dZg0Gkd5bpfTIODAoIsj9uvpB68GM
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6598 |
lumin/optimisation/threshold.py |
sha256=CqsqDLlbyz0BOSHShgp6rGucu0Gzzr1wzsLViMVZUb0
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3656 |
lumin/plotting/__init__.py |
sha256=cmWbykv2W5xz-qBHrtHBzea8T1IOYqi8mYETA74d3XE
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345 |
lumin/plotting/data_viewing.py |
sha256=b2gQAMbgsFEZa9CWJ3WfkFZwVlAfWf3ARYolFVRR290
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19496 |
lumin/plotting/interpretation.py |
sha256=dK2kRehU8DXZDyjws7mdTXxaTfYqr74_E4lDnwpbxrg
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19778 |
lumin/plotting/plot_settings.py |
sha256=rO365ZBRDxZnzQyKETEW2wv-34TIhSwVKz_63br5PuU
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3657 |
lumin/plotting/results.py |
sha256=eQo1bYDKsuoMUNZJ2MGxe-b9cyi9cnr0G6kmJgjpFfE
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16614 |
lumin/plotting/training.py |
sha256=5qnwQ3XKtoIOOyWBTo5OouSBw91uhuGsceLSq8dQ5KU
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7078 |
lumin/utils/__init__.py |
sha256=EACaQNPzjCBQXyip6LZyWsf-nEeR3eBfROdYHQ1vBP8
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lumin/utils/data.py |
sha256=w-w8R6StPeEUB8V4fHBih0ZixP-HgJidfiy90y_BzK8
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6319 |
lumin/utils/misc.py |
sha256=m9Oe8H1li52yaiAHlACSmd87XDWsRAM1EADRvGuawgw
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8084 |
lumin/utils/multiprocessing.py |
sha256=oRtdIKM0CJez2OTYceElD3RDUm_wb2h_NAFU6-R_79k
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lumin/utils/statistics.py |
sha256=lwlVNNUVnsJ7Rw_C9G9FCzTgqkkdQlTxWVwypsE7HGM
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4491 |
lumin-0.9.1.dist-info/LICENSE |
sha256=I094qWgalbRsZRMdSk7d5BJDhxulFTX1W4weQbkqGHk
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11350 |
lumin-0.9.1.dist-info/METADATA |
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lumin-0.9.1.dist-info/WHEEL |
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88 |
lumin-0.9.1.dist-info/RECORD |
— |
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