linr_model_meta_pb2.py 1.7 KB

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  1. # -*- coding: utf-8 -*-
  2. # Generated by the protocol buffer compiler. DO NOT EDIT!
  3. # source: linr-model-meta.proto
  4. """Generated protocol buffer code."""
  5. from google.protobuf import descriptor as _descriptor
  6. from google.protobuf import descriptor_pool as _descriptor_pool
  7. from google.protobuf import message as _message
  8. from google.protobuf import reflection as _reflection
  9. from google.protobuf import symbol_database as _symbol_database
  10. # @@protoc_insertion_point(imports)
  11. _sym_db = _symbol_database.Default()
  12. DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x15linr-model-meta.proto\x12&com.webank.ai.fate.core.mlmodel.buffer\"\xd0\x01\n\rLinRModelMeta\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\x12\n\nbatch_size\x18\x05 \x01(\x03\x12\x15\n\rlearning_rate\x18\x06 \x01(\x01\x12\x10\n\x08max_iter\x18\x07 \x01(\x03\x12\x12\n\nearly_stop\x18\x08 \x01(\t\x12\x15\n\rfit_intercept\x18\t \x01(\x08\x12\x17\n\x0freveal_strategy\x18\n \x01(\tB\x14\x42\x12LinRModelMetaProtob\x06proto3')
  13. _LINRMODELMETA = DESCRIPTOR.message_types_by_name['LinRModelMeta']
  14. LinRModelMeta = _reflection.GeneratedProtocolMessageType('LinRModelMeta', (_message.Message,), {
  15. 'DESCRIPTOR' : _LINRMODELMETA,
  16. '__module__' : 'linr_model_meta_pb2'
  17. # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta)
  18. })
  19. _sym_db.RegisterMessage(LinRModelMeta)
  20. if _descriptor._USE_C_DESCRIPTORS == False:
  21. DESCRIPTOR._options = None
  22. DESCRIPTOR._serialized_options = b'B\022LinRModelMetaProto'
  23. _LINRMODELMETA._serialized_start=66
  24. _LINRMODELMETA._serialized_end=274
  25. # @@protoc_insertion_point(module_scope)