text: # Generated by the protocol buffer compiler.  DO NOT EDIT!
  # source: feature-binning-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
  from google.protobuf import descriptor_pb2
  # @@protoc_insertion_point(imports)
  
  _sym_db = _symbol_database.Default()
  
  
  
  
  DESCRIPTOR = _descriptor.FileDescriptor(
    name='feature-binning-meta.proto',
    package='com.webank.ai.fate.common.mlmodel.buffer',
    syntax='proto3',
    serialized_pb=_b('\n\x1a\x66\x65\x61ture-binning-meta.proto\x12(com.webank.ai.fate.common.mlmodel.buffer\"\xac\x01\n\x12\x46\x65\x61tureBinningMeta\x12\x0e\n\x06method\x18\x01 \x01(\t\x12\x16\n\x0e\x63ompress_thres\x18\x02 \x01(\x03\x12\x11\n\thead_size\x18\x03 \x01(\x03\x12\r\n\x05\x65rror\x18\x04 \x01(\x01\x12\x0f\n\x07\x62in_num\x18\x05 \x01(\x03\x12\x0c\n\x04\x63ols\x18\x06 \x03(\x03\x12\x19\n\x11\x61\x64justment_factor\x18\x07 \x01(\x01\x12\x12\n\nlocal_only\x18\x08 \x01(\x08\x42\x19\x42\x17\x46\x65\x61tureBinningMetaProtob\x06proto3')
  )
  
  
  
  
  _FEATUREBINNINGMETA = _descriptor.Descriptor(
    name='FeatureBinningMeta',
    full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta',
    filename=None,
    file=DESCRIPTOR,
    containing_type=None,
    fields=[
      _descriptor.FieldDescriptor(
        name='method', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.method', 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,
        options=None),
      _descriptor.FieldDescriptor(
        name='compress_thres', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.compress_thres', index=1,
        number=2, 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,
        options=None),
      _descriptor.FieldDescriptor(
        name='head_size', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.head_size', index=2,
        number=3, 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,
        options=None),
      _descriptor.FieldDescriptor(
        name='error', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.error', index=3,
        number=4, 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,
        options=None),
      _descriptor.FieldDescriptor(
        name='bin_num', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.bin_num', 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,
        options=None),
      _descriptor.FieldDescriptor(
        name='cols', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.cols', index=5,
        number=6, type=3, cpp_type=2, label=3,
        has_default_value=False, default_value=[],
        message_type=None, enum_type=None, containing_type=None,
        is_extension=False, extension_scope=None,
        options=None),
      _descriptor.FieldDescriptor(
        name='adjustment_factor', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.adjustment_factor', 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,
        options=None),
      _descriptor.FieldDescriptor(
        name='local_only', full_name='com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta.local_only', index=7,
        number=8, 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,
        options=None),
    ],
    extensions=[
    ],
    nested_types=[],
    enum_types=[
    ],
    options=None,
    is_extendable=False,
    syntax='proto3',
    extension_ranges=[],
    oneofs=[
    ],
    serialized_start=73,
    serialized_end=245,
  )
  
  DESCRIPTOR.message_types_by_name['FeatureBinningMeta'] = _FEATUREBINNINGMETA
  _sym_db.RegisterFileDescriptor(DESCRIPTOR)
  
  FeatureBinningMeta = _reflection.GeneratedProtocolMessageType('FeatureBinningMeta', (_message.Message,), dict(
    DESCRIPTOR = _FEATUREBINNINGMETA,
    __module__ = 'feature_binning_meta_pb2'
    # @@protoc_insertion_point(class_scope:com.webank.ai.fate.common.mlmodel.buffer.FeatureBinningMeta)
    ))
  _sym_db.RegisterMessage(FeatureBinningMeta)
  
  
  DESCRIPTOR.has_options = True
  DESCRIPTOR._options = _descriptor._ParseOptions(descriptor_pb2.FileOptions(), _b('B\027FeatureBinningMetaProto'))
  # @@protoc_insertion_point(module_scope)
  