nasa-nccs-hpda / astrotime / 13400117557

Builds Branch Commit Type Ran Committer Via Coverage
13400117557 main Fix incorrect variable reference in DataPreprocessor logging. Replaced 'self.batch_index' with 'batch_index' in the logging statement to correctly reflect the local variable being used. This ensures accurate and consistent logging output for debu... push ThomasMaxwell github
80.0
13400102534 main Refactor DataPreprocessor batching logic Update `__getitem__` to use `batch_index` as the parameter, improving clarity and consistency. Replace `self.n` with `self.nbatches` in `__len__`, aligning with the `DataLoader` attribute for better mainta... push ThomasMaxwell github
80.0
13399929009 main Refactor DataPreprocessor to DataGenerator and update usage Replaced `DataPreprocessor` with a new `DataGenerator` class inheriting from `keras.utils.Sequence`. Updated all references and modified logic to align with the new generator interface, ... push ThomasMaxwell github
80.0
13398613988 main Update shape definition and tensor specifications Changed `shape` return type from `List` to `Tuple` for better consistency. Adjusted tensor specifications to use tuple concatenation instead of list operations for clarity and type correctness. push ThomasMaxwell github
80.0
13398585038 main Fix minor formatting issue in debug print statement. Adjusted the debug print statement in DataPreprocessor:get_batch to include a leading space for improved readability. No functional changes were made to the code. push ThomasMaxwell github
80.0
13398577099 main Update shape handling in data loader to use lists Replaced `Tuple` with `List` for `shape` property to improve consistency and compatibility in tensor handling. Adjusted output signature to align with updated shape definitions. push ThomasMaxwell github
80.0
13398437005 main Refactor conditional for clarity in input dimension check. Improved readability by expanding the conditional into separate lines. This makes the code easier to follow and aligns with standard coding practices for conditionals. Functionality remai... push ThomasMaxwell github
80.0
13398432204 main Ensure input dimensionality for CNN compatibility Added a check to expand 2D input tensors to 3D by adding a channel dimension. This prevents errors when processing grayscale input data with the CNN model. push ThomasMaxwell github
80.0
13398350120 main Refactor dummy input handling for sinusoid tensors. Ensure consistent tensor expansion by conditionally applying `tf.expand_dims` only when necessary. Improves clarity and correctness in shape management across the affected methods. push ThomasMaxwell github
80.0
13398263380 main Refactor shape print statements for consistent formatting. Updated all shape debug print statements to follow a unified, concise format with "->" as a prefix. This enhances readability and standardizes the output for easier debugging. push ThomasMaxwell github
80.0
13398144487 main Add debug print statement in DataPreprocessor __call__ method A debug print statement was added to log batch index and tensor shapes for `X`, `Y`, and `target` during processing. This helps with tracing and debugging data shapes in the preprocess... push ThomasMaxwell github
80.0
13398036474 main Add `encode_batch` method to encoders and update usage Introduced the `encode_batch` method in encoder classes to handle batch encoding directly. Refactored the loader to utilize `encode_batch` instead of `encode_dset`, improving flexibility and ... push ThomasMaxwell github
80.0
13397772684 main Refactor print statement in ValueEncoder for better clarity. Revised the output to include dataset shapes via the `shp` function, providing more detailed context about the input shapes during encoding. Removed the unused MinMaxScaler import for c... push ThomasMaxwell github
80.0
13397686689 main "Fix array dimensionality issues in dataset processing. Ensure consistency by adding an extra dimension to 'y' and 'p' arrays during dataset loading. This prevents potential shape mismatches when processing data." push ThomasMaxwell github
80.0
13397480303 main Refactor dataset variable extraction in loader call Simplify dataset variable handling by explicitly mapping `y` and `t` fields and adjusting the target assignment to use `p` values. Improves readability and aligns variable usage with expected da... push ThomasMaxwell github
80.0