prolog_primitives/__init__.py,sha256=M8vwaruSP16hsrNJjQxUPk8RgTVAXte-y0GV3r87ves,194
prolog_primitives/basic/DBManager.py,sha256=gATmNK8yxcx7Gc5oM7QLymLOX42OxYBGTyQfsucM7O0,1333
prolog_primitives/basic/DistributedElements.py,sha256=40pD9cBzr9rRQM1Aw9ezwHOOJSr_iECgU6WpIJcdCF0,4249
prolog_primitives/basic/PrimitiveWrapper.py,sha256=gUKREX7GTuYlDyvXWm7xcopEsxCsmdFE0Md2d5A3yrA,2713
prolog_primitives/basic/Session.py,sha256=IC1HsKELfJySZgLbEyiuSoAwsms4T5E99qKuBSkKNfU,4938
prolog_primitives/basic/SubRequestEvent.py,sha256=RqHmvpWJnZKlLm3R_AqRlvfjfoImxvTl3maG0LTNPz4,3858
prolog_primitives/basic/Utils.py,sha256=300VzNj9WfHx7U2ceHZZtI4VfayPRWyXczsfBhoEF8Y,3023
prolog_primitives/basic/__init__.py,sha256=MmdlpkzJVgpTiHUPTGG-5sx9Q2y8pB9_7GUPYv0g-z8,200
prolog_primitives/basic/filterKbPrimitive.py,sha256=h8rnx6SKuSrmmGt599qMaqs3tM7fJaDIKWZaBoFVkpY,1238
prolog_primitives/basic/nt.py,sha256=zlvOBqQRlLOgnxGz9B8PpbCndT1fDAG1QbeZrbGQDn8,1084
prolog_primitives/generatedProto/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
prolog_primitives/generatedProto/basicMessages_pb2.py,sha256=eYvwaaIhIzZjP_3cg418-gC-zuQs3-0wtm-qEZFZFKU,7223
prolog_primitives/generatedProto/basicMessages_pb2_grpc.py,sha256=1oboBPFxaTEXt9Aw7EAj8gXHDCNMhZD2VXqocC9l_gk,159
prolog_primitives/generatedProto/errorsMessages_pb2.py,sha256=sgUHZQp1ckkHftd9jmutGWS4RmikbUBRV-LKizOgGOg,5228
prolog_primitives/generatedProto/errorsMessages_pb2_grpc.py,sha256=1oboBPFxaTEXt9Aw7EAj8gXHDCNMhZD2VXqocC9l_gk,159
prolog_primitives/generatedProto/primitiveService_pb2.py,sha256=XUhXuZkaQRzYP-Y_qsiIkABy3-RPbZXtyWwDS-xCiEs,9189
prolog_primitives/generatedProto/primitiveService_pb2_grpc.py,sha256=GGg86ubCWsj-P9CjwgBO6ntsABd13mTkze4-uS8iwgw,4238
prolog_primitives/generatedProto/sideEffectsMessages_pb2.py,sha256=Pl1fIu0zlVDjtx2AWyt8FQ1BQKpLNYlCL8_0WbHSrY0,9838
prolog_primitives/generatedProto/sideEffectsMessages_pb2_grpc.py,sha256=1oboBPFxaTEXt9Aw7EAj8gXHDCNMhZD2VXqocC9l_gk,159
prolog_primitives/ml_lib/__init__.py,sha256=wT923DsezpUsU-2HIFa2aywMjVnQwL_NLJsOIspLO3I,195
prolog_primitives/ml_lib/__main__.py,sha256=uOwudmhpaZJ4yMNg6sVMpjOiVO7u-QKMe0-vwBw9dIs,40
prolog_primitives/ml_lib/collections.py,sha256=rMss0WD4m6ZYxTrYi93ZEC_mfeF1zWdeUNPDdLEVm7k,2654
prolog_primitives/ml_lib/launcher.py,sha256=LISxDCh2x0a0Ov2a70AX04ArvxFvJK5VseuvwTgAvJM,3113
prolog_primitives/ml_lib/dataset/__init__.py,sha256=9vKtml3joDQA7R-urPgn72XpYX6ljv4D-A3tPegOTCU,218
prolog_primitives/ml_lib/dataset/cell.py,sha256=b8npz0bQXq8Ke26LV9b0O_fcufF4XLTyCumM5xJFJ5M,3843
prolog_primitives/ml_lib/dataset/column.py,sha256=TAxSs5x3ddCq_YJQqGqFJvm2Y1XTsfI8xoRcxXr1HYU,1846
prolog_primitives/ml_lib/dataset/fold.py,sha256=c9GmK-f8LzKH-6-rSqdmmcO1fuVL4UNQ7SZXIenBHYI,1885
prolog_primitives/ml_lib/dataset/randomSplit.py,sha256=6QUrmEzMwfzVS2herV18ZhG5ksZrcXDsbfcpAOGkiM0,1839
prolog_primitives/ml_lib/dataset/row.py,sha256=wZGJvEE9hDSCmf98k5RQKPkjK1HfNWvTz3VbZWWANws,1758
prolog_primitives/ml_lib/dataset/theoryToDataset.py,sha256=7p9nHxaXy9aDfQrcwNIWioLm_-bS-Pgxddi9vq7t0uk,2803
prolog_primitives/ml_lib/dataset/theory_from_Dataset.py,sha256=71OcI4dkTboG5xrZdxte8nWRzU-pLigBg8i_5uhyWeQ,3156
prolog_primitives/ml_lib/neuralNetwork/__init__.py,sha256=qiRVPIEEsXc--YQBmsDIYaoBIg2xw22aNu5QhafaGSg,230
prolog_primitives/ml_lib/neuralNetwork/denseLayer.py,sha256=iiPrvWpV4o7dIzUwMU-Jvs8nfsvKkP52mmI23nZX6do,1638
prolog_primitives/ml_lib/neuralNetwork/inputLayer.py,sha256=w9BVePhW3r93obacFfMTI1EJfp-FmpllDlPKJFCFV2k,1076
prolog_primitives/ml_lib/neuralNetwork/neuralNetwork.py,sha256=0opR5SnIwHVmrwMB3-3lbV-leEc4p9ETD7IQHzV-uBQ,1353
prolog_primitives/ml_lib/neuralNetwork/outputLayer.py,sha256=HyEb6jBOYryu-gVzBRAASa6Gu7KvIyCuEQRKnFkeGBs,1612
prolog_primitives/ml_lib/predictors/__init__.py,sha256=Dk02Y2hUlnny2j0c4dr5bgjZfoANNAvjAr34ayfekW0,224
prolog_primitives/ml_lib/predictors/classify.py,sha256=cyr2EglhXNRmimjDAdItR4nq1CFtD27HVynpDLmG9GU,3065
prolog_primitives/ml_lib/predictors/predict.py,sha256=12369yYV-M1IqKF2a6plnW9hbAo1gOsWKUM9viOsHRc,2599
prolog_primitives/ml_lib/predictors/score.py,sha256=y8OZkrVbuYpYVx7y5SHX1vF1ZBZNGNmvMcXES5DRqvc,3978
prolog_primitives/ml_lib/predictors/train.py,sha256=pk2bDjSYRV7Sejj7IDE8gDUA7hg0OyXwDho3dlwKm_w,3323
prolog_primitives/ml_lib/schema/__init__.py,sha256=BIolthKDoEB2kK5AQt-doOVJAJjBSLvyNWtxj_xY2Dw,216
prolog_primitives/ml_lib/schema/schema.py,sha256=-5f6pfAQRj-RiNZursy9Lt80RhcFiN_zBD5N8W6V7sQ,3077
prolog_primitives/ml_lib/schema/schemaClass.py,sha256=K1nE9_Z3SMCFjS5-r__nKw3GL7sNHLrD01Cz9ppcXsA,3154
prolog_primitives/ml_lib/schema/theoryToSchema.py,sha256=EaIb5UAUHFUFYfaJPalZNUJJRfyUt_qcrMrhFoeT9-8,2411
prolog_primitives/ml_lib/transformations/__init__.py,sha256=RptKdHICH7h5D1ElhuR26drIhmCpSVx-xQadvSWsu-Q,234
prolog_primitives/ml_lib/transformations/drop.py,sha256=XnDRgEeFe_ifQdAHEr568oDLbj2gsBwjeGNdA2_2sI4,1486
prolog_primitives/ml_lib/transformations/fit.py,sha256=EOTjW8A0CK70kn4UIUVDNOur1S89nzxVTmL0YfyVtCg,1293
prolog_primitives/ml_lib/transformations/normalization.py,sha256=H9f0avC43aE_4ZQmE_OmYis0MFgBIfAza9hTvzVQ9cI,1514
prolog_primitives/ml_lib/transformations/one_hot_encode.py,sha256=uB_0iESft4DARb4pe9HxoP65hxMgp8QEebtIF7uILeo,1801
prolog_primitives/ml_lib/transformations/schema_trasformation.py,sha256=zTfvpp6DNfpC-I7PjL9YyGZ31QOEAhIGBPNP1vUS6CE,1595
prolog_primitives/ml_lib/transformations/transform.py,sha256=8xuZ5CO3GIObUTlMwjOqHVPPwWsryZy6o85CDZy6hvk,2035
prolog_primitives/ml_lib/transformations/transformationClass.py,sha256=EW_i1LvCoFcOk_jQ2W8-HNDaCb4Hsw_vgu9KsCZrvO8,4613
prolog_primitives-1.1.2.dist-info/LICENSE,sha256=MRmB6LSd7VbEqJQXde0qfCV0rsgjXzrkYtCh-OrkJdw,11353
prolog_primitives-1.1.2.dist-info/METADATA,sha256=rNJMc168Nv1Ivt5wlYzvIrkwQgHUiwCbPkgAa5PaKf0,1327
prolog_primitives-1.1.2.dist-info/WHEEL,sha256=pkctZYzUS4AYVn6dJ-7367OJZivF2e8RA9b_ZBjif18,92
prolog_primitives-1.1.2.dist-info/top_level.txt,sha256=EU5ueXTcVZNuATV0ihwaK53aXhw_EKtNOER9iIjfB2U,18
prolog_primitives-1.1.2.dist-info/RECORD,,
