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Txeo v0.1
A Developer-Friendly TensorFlow C++ Wrapper
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| Ctxeo::DataTable< T > | A container for managing training, evaluation, and test data splits |
| Ctxeo::DataTableNorm< T > | A normalizer for DataTable objects that handles feature scaling |
| Ctxeo::DeviceInfo | Bundle of device information |
| ▼Ctxeo::Logger | Abstract base class for logging subsystems |
| Ctxeo::LoggerConsole | Thread-safe singleton logger for console output |
| Ctxeo::LoggerFile | Singleton logger implementation for file output |
| Ctxeo::Loss< T > | Computes error metrics between predicted and validation tensors |
| Ctxeo::MatrixIO | A class to read file data to matrix and to write file data to a matrix |
| Ctxeo::Predictor< T > | Class that deals with the main tasks of prediction (inference) |
| ▼Cstd::runtime_error | |
| Ctxeo::DataTableError | |
| Ctxeo::DataTableNormError | |
| Ctxeo::LoggerFileError | Exception class for file logging errors |
| Ctxeo::LossError | Exceptions concerning txeo::Loss |
| Ctxeo::MatrixError | Exceptions concerning txeo::Matrix |
| Ctxeo::MatrixIOError | Exceptions concerning txeo::MatrixIO |
| Ctxeo::OlsGDTrainerError | Exceptions concerning txeo::OlsGDTrainer |
| Ctxeo::PredictorError | |
| Ctxeo::TensorAggError | Exceptions concerning txeo::TensorAgg |
| Ctxeo::TensorError | Exceptions concerning txeo::Tensor |
| Ctxeo::TensorFuncError | Exceptions concerning txeo::TensorOp |
| Ctxeo::TensorIOError | Exceptions concerning txeo::TensorIO |
| Ctxeo::TensorOpError | Exceptions concerning txeo::TensorOp |
| Ctxeo::TensorPartError | Exceptions concerning txeo::Tensor |
| Ctxeo::TensorShapeError | Exceptions concerning txeo::TensorShape |
| Ctxeo::TrainerError | Exceptions concerning txeo::OlsGDTrainer |
| Ctxeo::VectorError | Exceptions concerning txeo::Vector |
| ▼Ctxeo::Tensor< T > | 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 |
| Ctxeo::Matrix< T > | A class representing a matrix, derived from Tensor |
| Ctxeo::Vector< T > | A class representing a vector, derived from Tensor |
| Ctxeo::TensorAgg< T > | A utility class for aggregation functions on tensors |
| Ctxeo::TensorFunc< T > | A utility class for common math functions on tensors |
| Ctxeo::TensorIO | This class is deprecated. Please use class txeo::MatrixIO |
| Ctxeo::TensorIterator< T > | |
| Ctxeo::TensorOp< T > | A utility class for performing operations on tensors and vectors |
| Ctxeo::TensorPart< T > | A utility class for partitioning tensors |
| Ctxeo::TensorShape | The shape of a tensor is an ordered collection of dimensions of mathematical vector spaces |
| ▼Ctxeo::Trainer< T > | Abstract base class for machine learning trainers |
| Ctxeo::OlsGDTrainer< T > | Ordinary Least Squares trainer using Gradient Descent optimization |