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lr_model_meta_pb2.py

lr_model_meta_pb2.py 2.4 KB
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  1. # -*- coding: utf-8 -*-
    2. 

  2. # Generated by the protocol buffer compiler.  DO NOT EDIT!
    3. 

  3. # source: lr-model-meta.proto
    4. 

  4. """Generated protocol buffer code."""
    5. 

  5. from google.protobuf import descriptor as _descriptor
    6. 

  6. from google.protobuf import descriptor_pool as _descriptor_pool
    7. 

  7. from google.protobuf import message as _message
    8. 

  8. from google.protobuf import reflection as _reflection
    9. 

  9. from google.protobuf import symbol_database as _symbol_database
    10. 

  10. # @@protoc_insertion_point(imports)
    11. 

  11. 

  12. _sym_db = _symbol_database.Default()
    13. 

  13. 

  14. 

  15. 

  16. 

  17. DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x13lr-model-meta.proto\x12&com.webank.ai.fate.core.mlmodel.buffer\" \n\x0bPredictMeta\x12\x11\n\tthreshold\x18\x01 \x01(\x01\"\xf6\x02\n\x0bLRModelMeta\x12\x0f\n\x07penalty\x18\x01 \x01(\t\x12\x0b\n\x03tol\x18\x02 \x01(\x01\x12\r\n\x05\x61lpha\x18\x03 \x01(\x01\x12\x11\n\toptimizer\x18\x04 \x01(\t\x12\x14\n\x0cparty_weight\x18\x05 \x01(\x01\x12\x12\n\nbatch_size\x18\x06 \x01(\x03\x12\x15\n\rlearning_rate\x18\x07 \x01(\x01\x12\x10\n\x08max_iter\x18\x08 \x01(\x03\x12\x12\n\nearly_stop\x18\t \x01(\t\x12\x1a\n\x12re_encrypt_batches\x18\n \x01(\x03\x12\x15\n\rfit_intercept\x18\x0b \x01(\x08\x12\x18\n\x10need_one_vs_rest\x18\x0c \x01(\x08\x12J\n\rpredict_param\x18\r \x01(\x0b\x32\x33.com.webank.ai.fate.core.mlmodel.buffer.PredictMeta\x12\x17\n\x0freveal_strategy\x18\x0e \x01(\t\x12\x0e\n\x06module\x18\x0f \x01(\tB\x12\x42\x10LRModelMetaProtob\x06proto3')
    18. 

  18. 

  19. 

  20. 

  21. _PREDICTMETA = DESCRIPTOR.message_types_by_name['PredictMeta']
    22. 

  22. _LRMODELMETA = DESCRIPTOR.message_types_by_name['LRModelMeta']
    23. 

  23. PredictMeta = _reflection.GeneratedProtocolMessageType('PredictMeta', (_message.Message,), {
    24. 

  24.   'DESCRIPTOR' : _PREDICTMETA,
    25. 

  25.   '__module__' : 'lr_model_meta_pb2'
    26. 

  26.   # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.PredictMeta)
    27. 

  27.   })
    28. 

  28. _sym_db.RegisterMessage(PredictMeta)
    29. 

  29. 

  30. LRModelMeta = _reflection.GeneratedProtocolMessageType('LRModelMeta', (_message.Message,), {
    31. 

  31.   'DESCRIPTOR' : _LRMODELMETA,
    32. 

  32.   '__module__' : 'lr_model_meta_pb2'
    33. 

  33.   # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta)
    34. 

  34.   })
    35. 

  35. _sym_db.RegisterMessage(LRModelMeta)
    36. 

  36. 

  37. if _descriptor._USE_C_DESCRIPTORS == False:
    38. 

  38. 

  39.   DESCRIPTOR._options = None
    40. 

  40.   DESCRIPTOR._serialized_options = b'B\020LRModelMetaProto'
    41. 

  41.   _PREDICTMETA._serialized_start=63
    42. 

  42.   _PREDICTMETA._serialized_end=95
    43. 

  43.   _LRMODELMETA._serialized_start=98
    44. 

  44.   _LRMODELMETA._serialized_end=472
    45. 

  45. # @@protoc_insertion_point(module_scope)
    46.