Class CSVDataset
java.lang.Object
org.tensorflow.op.RawOp
org.tensorflow.op.data.CSVDataset
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Nested Class Summary
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Field Summary
FieldsModifier and TypeFieldDescriptionstatic final StringThe name of this op, as known by TensorFlow core engine -
Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionasOutput()Returns the symbolic handle of the tensor.static CSVDatasetcreate(Scope scope, Operand<TString> filenames, Operand<TString> compressionType, Operand<TInt64> bufferSize, Operand<TBool> header, Operand<TString> fieldDelim, Operand<TBool> useQuoteDelim, Operand<TString> naValue, Operand<TInt64> selectCols, Iterable<Operand<?>> recordDefaults, Operand<TInt64> excludeCols, List<Shape> outputShapes) Factory method to create a class wrapping a new CSVDatasetV2 operation.handle()Gets handle.
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Field Details
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OP_NAME
The name of this op, as known by TensorFlow core engine- See Also:
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Constructor Details
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CSVDataset
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Method Details
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create
@Endpoint(describeByClass=true) public static CSVDataset create(Scope scope, Operand<TString> filenames, Operand<TString> compressionType, Operand<TInt64> bufferSize, Operand<TBool> header, Operand<TString> fieldDelim, Operand<TBool> useQuoteDelim, Operand<TString> naValue, Operand<TInt64> selectCols, Iterable<Operand<?>> recordDefaults, Operand<TInt64> excludeCols, List<Shape> outputShapes) Factory method to create a class wrapping a new CSVDatasetV2 operation.- Parameters:
scope- current scopefilenames- The filenames valuecompressionType- The compressionType valuebufferSize- The bufferSize valueheader- The header valuefieldDelim- The fieldDelim valueuseQuoteDelim- The useQuoteDelim valuenaValue- The naValue valueselectCols- The selectCols valuerecordDefaults- The recordDefaults valueexcludeCols- The excludeCols valueoutputShapes- The value of the outputShapes attribute- Returns:
- a new instance of CSVDataset
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handle
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asOutput
Description copied from interface:OperandReturns the symbolic handle of the tensor.Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
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