text: # Generated by the protocol buffer compiler.  DO NOT EDIT!
  # source: lr-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='lr-model-meta.proto',
    package='com.webank.ai.fate.core.mlmodel.buffer',
    syntax='proto3',
    serialized_options=_b('B\020LRModelMetaProto'),
    serialized_pb=_b('\n\x13lr-model-meta.proto\x12&com.webank.ai.fate.core.mlmodel.buffer\"\x81\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\x42\x12\x42\x10LRModelMetaProtob\x06proto3')
  )
  
  
  
  
  _LRMODELMETA = _descriptor.Descriptor(
    name='LRModelMeta',
    full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
      _descriptor.FieldDescriptor(
        name='penalty', full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta.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.LRModelMeta.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.LRModelMeta.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.LRModelMeta.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='party_weight', full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta.party_weight', index=4,
        number=5, 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='batch_size', full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta.batch_size', index=5,
        number=6, 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.LRModelMeta.learning_rate', index=6,
        number=7, 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.LRModelMeta.max_iter', index=7,
        number=8, 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.LRModelMeta.early_stop', index=8,
        number=9, 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='re_encrypt_batches', full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta.re_encrypt_batches', index=9,
        number=10, 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='fit_intercept', full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta.fit_intercept', index=10,
        number=11, 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),
      _descriptor.FieldDescriptor(
        name='need_one_vs_rest', full_name='com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta.need_one_vs_rest', index=11,
        number=12, 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=64,
    serialized_end=321,
  )
  
  DESCRIPTOR.message_types_by_name['LRModelMeta'] = _LRMODELMETA
  _sym_db.RegisterFileDescriptor(DESCRIPTOR)
  
  LRModelMeta = _reflection.GeneratedProtocolMessageType('LRModelMeta', (_message.Message,), dict(
    DESCRIPTOR = _LRMODELMETA,
    __module__ = 'lr_model_meta_pb2'
    # @@protoc_insertion_point(class_scope:com.webank.ai.fate.core.mlmodel.buffer.LRModelMeta)
    ))
  _sym_db.RegisterMessage(LRModelMeta)
  
  
  DESCRIPTOR._options = None
  # @@protoc_insertion_point(module_scope)
  