- 3.52.0 (latest)
- 3.50.0
- 3.49.0
- 3.48.0
- 3.47.0
- 3.46.0
- 3.45.0
- 3.44.0
- 3.43.0
- 3.42.0
- 3.41.0
- 3.40.0
- 3.38.0
- 3.37.0
- 3.36.0
- 3.35.0
- 3.34.0
- 3.33.0
- 3.32.0
- 3.31.0
- 3.30.0
- 3.29.0
- 3.28.0
- 3.25.0
- 3.24.0
- 3.23.0
- 3.22.0
- 3.21.0
- 3.20.0
- 3.19.0
- 3.18.0
- 3.17.0
- 3.16.0
- 3.15.0
- 3.14.0
- 3.13.0
- 3.12.0
- 3.11.0
- 3.10.0
- 3.9.0
- 3.8.0
- 3.7.0
- 3.6.0
- 3.5.0
- 3.4.2
- 3.3.0
- 3.2.0
- 3.0.0
- 2.9.8
- 2.8.9
- 2.7.4
- 2.5.3
- 2.4.0
public static final class StratifiedSplit.Builder extends GeneratedMessageV3.Builder<StratifiedSplit.Builder> implements StratifiedSplitOrBuilder Assigns input data to the training, validation, and test sets so that the
distribution of values found in the categorical column (as specified by the
key field) is mirrored within each split. The fraction values determine
the relative sizes of the splits.
For example, if the specified column has three values, with 50% of the rows
having value "A", 25% value "B", and 25% value "C", and the split fractions
are specified as 80/10/10, then the training set will constitute 80% of the
training data, with about 50% of the training set rows having the value "A"
for the specified column, about 25% having the value "B", and about 25%
having the value "C".
Only the top 500 occurring values are used; any values not in the top
500 values are randomly assigned to a split. If less than three rows contain
a specific value, those rows are randomly assigned.
Supported only for tabular Datasets.
Protobuf type google.cloud.aiplatform.v1beta1.StratifiedSplit
Inheritance
Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > StratifiedSplit.BuilderImplements
StratifiedSplitOrBuilderStatic Methods
getDescriptor()
public static final Descriptors.Descriptor getDescriptor()| Type | Description |
| Descriptor |
Methods
addRepeatedField(Descriptors.FieldDescriptor field, Object value)
public StratifiedSplit.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| StratifiedSplit.Builder |
build()
public StratifiedSplit build()| Type | Description |
| StratifiedSplit |
buildPartial()
public StratifiedSplit buildPartial()| Type | Description |
| StratifiedSplit |
clear()
public StratifiedSplit.Builder clear()| Type | Description |
| StratifiedSplit.Builder |
clearField(Descriptors.FieldDescriptor field)
public StratifiedSplit.Builder clearField(Descriptors.FieldDescriptor field)| Name | Description |
| field | FieldDescriptor |
| Type | Description |
| StratifiedSplit.Builder |
clearKey()
public StratifiedSplit.Builder clearKey()Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.
string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
clearOneof(Descriptors.OneofDescriptor oneof)
public StratifiedSplit.Builder clearOneof(Descriptors.OneofDescriptor oneof)| Name | Description |
| oneof | OneofDescriptor |
| Type | Description |
| StratifiedSplit.Builder |
clearTestFraction()
public StratifiedSplit.Builder clearTestFraction()The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
clearTrainingFraction()
public StratifiedSplit.Builder clearTrainingFraction()The fraction of the input data that is to be used to train the Model.
double training_fraction = 1;
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
clearValidationFraction()
public StratifiedSplit.Builder clearValidationFraction()The fraction of the input data that is to be used to validate the Model.
double validation_fraction = 2;
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
clone()
public StratifiedSplit.Builder clone()| Type | Description |
| StratifiedSplit.Builder |
getDefaultInstanceForType()
public StratifiedSplit getDefaultInstanceForType()| Type | Description |
| StratifiedSplit |
getDescriptorForType()
public Descriptors.Descriptor getDescriptorForType()| Type | Description |
| Descriptor |
getKey()
public String getKey()Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.
string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| String | The key. |
getKeyBytes()
public ByteString getKeyBytes()Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.
string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Type | Description |
| ByteString | The bytes for key. |
getTestFraction()
public double getTestFraction()The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
| Type | Description |
| double | The testFraction. |
getTrainingFraction()
public double getTrainingFraction()The fraction of the input data that is to be used to train the Model.
double training_fraction = 1;
| Type | Description |
| double | The trainingFraction. |
getValidationFraction()
public double getValidationFraction()The fraction of the input data that is to be used to validate the Model.
double validation_fraction = 2;
| Type | Description |
| double | The validationFraction. |
internalGetFieldAccessorTable()
protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()| Type | Description |
| FieldAccessorTable |
isInitialized()
public final boolean isInitialized()| Type | Description |
| boolean |
mergeFrom(StratifiedSplit other)
public StratifiedSplit.Builder mergeFrom(StratifiedSplit other)| Name | Description |
| other | StratifiedSplit |
| Type | Description |
| StratifiedSplit.Builder |
mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
public StratifiedSplit.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)| Name | Description |
| input | CodedInputStream |
| extensionRegistry | ExtensionRegistryLite |
| Type | Description |
| StratifiedSplit.Builder |
| Type | Description |
| IOException |
mergeFrom(Message other)
public StratifiedSplit.Builder mergeFrom(Message other)| Name | Description |
| other | Message |
| Type | Description |
| StratifiedSplit.Builder |
mergeUnknownFields(UnknownFieldSet unknownFields)
public final StratifiedSplit.Builder mergeUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| StratifiedSplit.Builder |
setField(Descriptors.FieldDescriptor field, Object value)
public StratifiedSplit.Builder setField(Descriptors.FieldDescriptor field, Object value)| Name | Description |
| field | FieldDescriptor |
| value | Object |
| Type | Description |
| StratifiedSplit.Builder |
setKey(String value)
public StratifiedSplit.Builder setKey(String value)Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.
string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | StringThe key to set. |
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
setKeyBytes(ByteString value)
public StratifiedSplit.Builder setKeyBytes(ByteString value)Required. The key is a name of one of the Dataset's data columns. The key provided must be for a categorical column.
string key = 4 [(.google.api.field_behavior) = REQUIRED];
| Name | Description |
| value | ByteStringThe bytes for key to set. |
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
public StratifiedSplit.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)| Name | Description |
| field | FieldDescriptor |
| index | int |
| value | Object |
| Type | Description |
| StratifiedSplit.Builder |
setTestFraction(double value)
public StratifiedSplit.Builder setTestFraction(double value)The fraction of the input data that is to be used to evaluate the Model.
double test_fraction = 3;
| Name | Description |
| value | doubleThe testFraction to set. |
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
setTrainingFraction(double value)
public StratifiedSplit.Builder setTrainingFraction(double value)The fraction of the input data that is to be used to train the Model.
double training_fraction = 1;
| Name | Description |
| value | doubleThe trainingFraction to set. |
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |
setUnknownFields(UnknownFieldSet unknownFields)
public final StratifiedSplit.Builder setUnknownFields(UnknownFieldSet unknownFields)| Name | Description |
| unknownFields | UnknownFieldSet |
| Type | Description |
| StratifiedSplit.Builder |
setValidationFraction(double value)
public StratifiedSplit.Builder setValidationFraction(double value)The fraction of the input data that is to be used to validate the Model.
double validation_fraction = 2;
| Name | Description |
| value | doubleThe validationFraction to set. |
| Type | Description |
| StratifiedSplit.Builder | This builder for chaining. |