Documentation
¶
Index ¶
- func ConvertDivisorToFloat32SliceTensor(columns interface{}) (*tf.Tensor, error)
- func ConvertInt32SliceToTensor(columns interface{}) (*tf.Tensor, error)
- func ConvertTokenizerToFloat32SliceTensor(columns interface{}) (*tf.Tensor, error)
- func ConvertTokenizerToInt32SliceTensor(columns interface{}) (*tf.Tensor, error)
- func ReadCsvFloat32s(columns []string) interface{}
- func ReadCsvInt32s(columns []string) interface{}
- func ReadStringNop(columns []string) interface{}
- type Processor
- type RegressionDivisor
- type Tokenizer
Constants ¶
This section is empty.
Variables ¶
This section is empty.
Functions ¶
func ReadCsvFloat32s ¶
func ReadCsvFloat32s(columns []string) interface{}
func ReadCsvInt32s ¶
func ReadCsvInt32s(columns []string) interface{}
func ReadStringNop ¶
func ReadStringNop(columns []string) interface{}
Types ¶
type Processor ¶
type Processor struct {
Name string
LineOffset int
// TODO: find a nicer way to capture multiple columns in a row
DataLength int
RequiresFit bool
// contains filtered or unexported fields
}
func NewProcessor ¶
type RegressionDivisor ¶
type RegressionDivisor struct {
// contains filtered or unexported fields
}
func NewDivisor ¶
func NewDivisor( errorHandler *cberrors.ErrorsContainer, ) *RegressionDivisor
func (*RegressionDivisor) Divide ¶
func (r *RegressionDivisor) Divide(input []float32) ([]float32, error)
func (*RegressionDivisor) Fit ¶
func (r *RegressionDivisor) Fit(input []float32)
func (*RegressionDivisor) Load ¶
func (r *RegressionDivisor) Load(configFile string) error
func (*RegressionDivisor) Save ¶
func (r *RegressionDivisor) Save(configFile string) error
type Tokenizer ¶
type Tokenizer struct {
// contains filtered or unexported fields
}
func NewTokenizer ¶
Source Files
Click to show internal directories.
Click to hide internal directories.