text: # Generated by the protocol buffer compiler.  DO NOT EDIT!
  # source: linr-model-meta.proto
  
  import sys
  _b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode('latin1'))
  from google.protobuf import descriptor as _descriptor
  from google.protobuf import message as _message
  from google.protobuf import reflection as _reflection
  from google.protobuf import symbol_database as _symbol_database
  # @@protoc_insertion_point(imports)
  
  _sym_db = _symbol_database.Default()
  
  
  DESCRIPTOR = _descriptor.FileDescriptor(name='linr-model-meta.proto', package='com.webank.ai.fate.core.mlmodel.buffer', syntax='proto3', serialized_options=_b('B\022LinRModelMetaProto'), serialized_pb=_b(
      '\n\x15linr-model-meta.proto\x12&com.webank.ai.fate.core.mlmodel.buffer\"\xb7\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\x42\x14\x42\x12LinRModelMetaProtob\x06proto3'))
  
  
  _LINRMODELMETA = _descriptor.Descriptor(
      name='LinRModelMeta',
      full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta',
      filename=None,
      file=DESCRIPTOR,
      containing_type=None,
      fields=[
          _descriptor.FieldDescriptor(
              name='penalty', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.penalty', index=0,
              number=1, type=9, cpp_type=9, label=1,
              has_default_value=False, default_value=_b("").decode('utf-8'),
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='tol', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.tol', index=1,
              number=2, type=1, cpp_type=5, label=1,
              has_default_value=False, default_value=float(0),
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='alpha', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.alpha', index=2,
              number=3, type=1, cpp_type=5, label=1,
              has_default_value=False, default_value=float(0),
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='optimizer', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.optimizer', index=3,
              number=4, type=9, cpp_type=9, label=1,
              has_default_value=False, default_value=_b("").decode('utf-8'),
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='batch_size', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.batch_size', index=4,
              number=5, type=3, cpp_type=2, label=1,
              has_default_value=False, default_value=0,
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='learning_rate', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.learning_rate', index=5,
              number=6, type=1, cpp_type=5, label=1,
              has_default_value=False, default_value=float(0),
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='max_iter', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.max_iter', index=6,
              number=7, type=3, cpp_type=2, label=1,
              has_default_value=False, default_value=0,
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='early_stop', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.early_stop', index=7,
              number=8, type=9, cpp_type=9, label=1,
              has_default_value=False, default_value=_b("").decode('utf-8'),
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
          _descriptor.FieldDescriptor(
              name='fit_intercept', full_name='com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta.fit_intercept', index=8,
              number=9, type=8, cpp_type=7, label=1,
              has_default_value=False, default_value=False,
              message_type=None, enum_type=None, containing_type=None,
              is_extension=False, extension_scope=None,
              serialized_options=None, file=DESCRIPTOR),
      ],
      extensions=[
      ],
      nested_types=[],
      enum_types=[
      ],
      serialized_options=None,
      is_extendable=False,
      syntax='proto3',
      extension_ranges=[],
      oneofs=[
      ],
      serialized_start=66,
      serialized_end=249,
  )
  
  DESCRIPTOR.message_types_by_name['LinRModelMeta'] = _LINRMODELMETA
  _sym_db.RegisterFileDescriptor(DESCRIPTOR)
  
  LinRModelMeta = _reflection.GeneratedProtocolMessageType('LinRModelMeta', (_message.Message,), dict(
      DESCRIPTOR=_LINRMODELMETA,
      __module__='linr_model_meta_pb2'
      # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.LinRModelMeta)
  ))
  _sym_db.RegisterMessage(LinRModelMeta)
  
  
  DESCRIPTOR._options = None
  # @@protoc_insertion_point(module_scope)
  