public static final class AutoMlForecastingInputs.Granularity extends GeneratedMessageV3 implements AutoMlForecastingInputs.GranularityOrBuilder
A duration of time expressed in time granularity units.
Protobuf type
google.cloud.aiplatform.v1beta1.schema.trainingjob.definition.AutoMlForecastingInputs.Granularity
Fields
public static final int QUANTITY_FIELD_NUMBER
Field Value
public static final int UNIT_FIELD_NUMBER
Field Value
Methods
public boolean equals(Object obj)
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public static AutoMlForecastingInputs.Granularity getDefaultInstance()
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public AutoMlForecastingInputs.Granularity getDefaultInstanceForType()
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public static final Descriptors.Descriptor getDescriptor()
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public Parser<AutoMlForecastingInputs.Granularity> getParserForType()
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public long getQuantity()
The number of granularity_units between data points in the training
data. If granularity_unit
is minute
,
can be 1, 5, 10, 15, or 30. For all other values of granularity_unit
,
must be 1.
int64 quantity = 2;
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Type | Description |
long | The quantity.
|
public int getSerializedSize()
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Overrides
The time granularity unit of this time period.
The supported units are:
- "minute"
- "hour"
- "day"
- "week"
- "month"
- "year"
string unit = 1;
Returns
Type | Description |
String | The unit.
|
public ByteString getUnitBytes()
The time granularity unit of this time period.
The supported units are:
- "minute"
- "hour"
- "day"
- "week"
- "month"
- "year"
string unit = 1;
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public final UnknownFieldSet getUnknownFields()
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protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
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public final boolean isInitialized()
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public static AutoMlForecastingInputs.Granularity.Builder newBuilder()
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public static AutoMlForecastingInputs.Granularity.Builder newBuilder(AutoMlForecastingInputs.Granularity prototype)
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public AutoMlForecastingInputs.Granularity.Builder newBuilderForType()
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protected AutoMlForecastingInputs.Granularity.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
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protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
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public static AutoMlForecastingInputs.Granularity parseDelimitedFrom(InputStream input)
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public static AutoMlForecastingInputs.Granularity parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Granularity parseFrom(byte[] data)
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Name | Description |
data | byte[]
|
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public static AutoMlForecastingInputs.Granularity parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Granularity parseFrom(ByteString data)
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public static AutoMlForecastingInputs.Granularity parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Granularity parseFrom(CodedInputStream input)
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public static AutoMlForecastingInputs.Granularity parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Granularity parseFrom(InputStream input)
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public static AutoMlForecastingInputs.Granularity parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
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public static AutoMlForecastingInputs.Granularity parseFrom(ByteBuffer data)
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public static AutoMlForecastingInputs.Granularity parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
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public static Parser<AutoMlForecastingInputs.Granularity> parser()
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public AutoMlForecastingInputs.Granularity.Builder toBuilder()
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public void writeTo(CodedOutputStream output)
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