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Txeo v0.1
A Developer-Friendly TensorFlow C++ Wrapper
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| ▼Ntxeo | |
| CDataTable | A container for managing training, evaluation, and test data splits |
| CDataTableError | |
| CDataTableNorm | A normalizer for DataTable objects that handles feature scaling |
| CDataTableNormError | |
| CDeviceInfo | Bundle of device information |
| CLogger | Abstract base class for logging subsystems |
| CLoggerConsole | Thread-safe singleton logger for console output |
| CLoggerFile | Singleton logger implementation for file output |
| CLoggerFileError | Exception class for file logging errors |
| CLoss | Computes error metrics between predicted and validation tensors |
| CLossError | Exceptions concerning txeo::Loss |
| CMatrix | A class representing a matrix, derived from Tensor |
| CMatrixError | Exceptions concerning txeo::Matrix |
| CMatrixIO | A class to read file data to matrix and to write file data to a matrix |
| CMatrixIOError | Exceptions concerning txeo::MatrixIO |
| COlsGDTrainer | Ordinary Least Squares trainer using Gradient Descent optimization |
| COlsGDTrainerError | Exceptions concerning txeo::OlsGDTrainer |
| CPredictor | Class that deals with the main tasks of prediction (inference) |
| CPredictorError | |
| CTensor | Implements the mathematical concept of tensor, which is a magnitude of multiple order. A tensor of order zero is defined to be a scalar, of order one a vector, of order two a matrix and so on. Each order of the tensor has a dimension. Elements are addressed via multidimensional indexing |
| CTensorAgg | A utility class for aggregation functions on tensors |
| CTensorAggError | Exceptions concerning txeo::TensorAgg |
| CTensorError | Exceptions concerning txeo::Tensor |
| CTensorFunc | A utility class for common math functions on tensors |
| CTensorFuncError | Exceptions concerning txeo::TensorOp |
| CTensorIO | This class is deprecated. Please use class txeo::MatrixIO |
| CTensorIOError | Exceptions concerning txeo::TensorIO |
| CTensorIterator | |
| CTensorOp | A utility class for performing operations on tensors and vectors |
| CTensorOpError | Exceptions concerning txeo::TensorOp |
| CTensorPart | A utility class for partitioning tensors |
| CTensorPartError | Exceptions concerning txeo::Tensor |
| CTensorShape | The shape of a tensor is an ordered collection of dimensions of mathematical vector spaces |
| CTensorShapeError | Exceptions concerning txeo::TensorShape |
| CTrainer | Abstract base class for machine learning trainers |
| CTrainerError | Exceptions concerning txeo::OlsGDTrainer |
| CVector | A class representing a vector, derived from Tensor |
| CVectorError | Exceptions concerning txeo::Vector |