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20 hours ago •
NVIDIA-Merlin
NVIDIA-Merlin
[DOC] Improve Code Coverage in Merlin Models to X%
Describe the documentation you'd like
Inline Code Coverage of Merlin Models is around 40%. We should aim for X%.
Merlin Models: ============================ Coverage for /workspace/01_MerlinDev/62_DocStrings/models/merlin/ ============================ --------------------------------------------------------- Summary ---------------------------------------------------------
| Name | Total | Miss | Cover | Cover% |
|---|---|---|---|---|
| datasets/synthetic.py | 4 | 1 | 3 | 75% |
| datasets/advertising/criteo/dataset.py | 5 | 3 | 2 | 40% |
| datasets/ecommerce/aliccp/dataset.py | 4 | 2 | 2 | 50% |
| datasets/ecommerce/booking/dataset.py | 5 | 1 | 4 | 80% |
| datasets/ecommerce/dressipi/dataset.py | 3 | 2 | 1 | 33% |
| datasets/entertainment/movielens/dataset.py | 7 | 4 | 3 | 43% |
| models/config/schema.py | 11 | 6 | 5 | 45% |
| models/tf/loader.py | 5 | 2 | 3 | 60% |
| models/tf/blocks/cross.py | 7 | 5 | 2 | 29% |
| models/tf/blocks/dlrm.py | 2 | 1 | 1 | 50% |
| models/tf/blocks/experts.py | 19 | 12 | 7 | 37% |
| models/tf/blocks/interaction.py | 13 | 8 | 5 | 38% |
| models/tf/blocks/mlp.py | 8 | 6 | 2 | 25% |
| models/tf/blocks/optimizer.py | 12 | 4 | 8 | 67% |
| models/tf/blocks/retrieval/base.py | 15 | 9 | 6 | 40% |
| models/tf/blocks/retrieval/matrix_factorization.py | 5 | 3 | 2 | 40% |
| models/tf/blocks/sampling/base.py | 4 | 4 | 0 | 0% |
| models/tf/blocks/sampling/cross_batch.py | 6 | 4 | 2 | 33% |
| models/tf/blocks/sampling/in_batch.py | 7 | 5 | 2 | 29% |
| models/tf/core/aggregation.py | 39 | 29 | 10 | 26% |
| models/tf/core/base.py | 39 | 27 | 12 | 31% |
| models/tf/core/combinators.py | 40 | 21 | 19 | 48% |
| models/tf/core/encoder.py | 20 | 9 | 11 | 55% |
| models/tf/core/index.py | 14 | 9 | 5 | 36% |
| models/tf/core/prediction.py | 9 | 5 | 4 | 44% |
| models/tf/core/tabular.py | 36 | 27 | 9 | 25% |
| models/tf/distributed/embedding.py | 5 | 2 | 3 | 60% |
| models/tf/experimental/sample_weight.py | 5 | 3 | 2 | 40% |
| models/tf/inputs/continuous.py | 9 | 6 | 3 | 33% |
| models/tf/inputs/embedding.py | 46 | 32 | 14 | 30% |
| models/tf/losses/base.py | 1 | 1 | 0 | 0% |
| models/tf/metrics/evaluation.py | 19 | 12 | 7 | 37% |
| models/tf/metrics/topk.py | 25 | 15 | 10 | 40% |
| models/tf/models/base.py | 62 | 34 | 28 | 45% |
| models/tf/models/utils.py | 2 | 2 | 0 | 0% |
| models/tf/outputs/base.py | 12 | 9 | 3 | 25% |
| models/tf/outputs/block.py | 5 | 3 | 2 | 40% |
| models/tf/outputs/classification.py | 15 | 10 | 5 | 33% |
| models/tf/outputs/contrastive.py | 13 | 9 | 4 | 31% |
| models/tf/outputs/topk.py | 13 | 5 | 8 | 62% |
| models/tf/outputs/sampling/base.py | 10 | 7 | 3 | 30% |
| models/tf/outputs/sampling/in_batch.py | 7 | 5 | 2 | 29% |
| models/tf/outputs/sampling/popularity.py | 5 | 3 | 2 | 40% |
| models/tf/prediction_tasks/base.py | 22 | 16 | 6 | 27% |
| models/tf/prediction_tasks/classification.py | 12 | 8 | 4 | 33% |
| models/tf/prediction_tasks/next_item.py | 6 | 3 | 3 | 50% |
| models/tf/prediction_tasks/regression.py | 5 | 3 | 2 | 40% |
| models/tf/prediction_tasks/retrieval.py | 5 | 4 | 1 | 20% |
| models/tf/transformers/block.py | 16 | 7 | 9 | 56% |
| models/tf/transformers/transforms.py | 23 | 14 | 9 | 39% |
| models/tf/transforms/bias.py | 17 | 13 | 4 | 24% |
| models/tf/transforms/features.py | 50 | 36 | 14 | 28% |
| models/tf/transforms/noise.py | 5 | 4 | 1 | 20% |
| models/tf/transforms/regularization.py | 3 | 2 | 1 | 33% |
| models/tf/transforms/sequence.py | 48 | 23 | 25 | 52% |
| models/tf/transforms/tensor.py | 5 | 4 | 1 | 20% |
| models/tf/utils/batch_utils.py | 8 | 5 | 3 | 38% |
| models/tf/utils/repr_utils.py | 5 | 5 | 0 | 0% |
| models/tf/utils/search_utils.py | 3 | 3 | 0 | 0% |
| models/tf/utils/testing_utils.py | 11 | 7 | 4 | 36% |
| models/tf/utils/tf_utils.py | 24 | 15 | 9 | 38% |
| models/torch/losses.py | 2 | 1 | 1 | 50% |
| models/torch/block/base.py | 19 | 14 | 5 | 26% |
| models/torch/block/mlp.py | 4 | 4 | 0 | 0% |
| models/torch/features/base.py | 1 | 1 | 0 | 0% |
| models/torch/features/continuous.py | 4 | 3 | 1 | 25% |
| models/torch/features/embedding.py | 15 | 10 | 5 | 33% |
| models/torch/features/tabular.py | 4 | 1 | 3 | 75% |
| models/torch/model/base.py | 32 | 24 | 8 | 25% |
| models/torch/model/prediction_task.py | 6 | 6 | 0 | 0% |
| models/torch/tabular/aggregation.py | 13 | 9 | 4 | 31% |
| models/torch/tabular/base.py | 29 | 15 | 14 | 48% |
| models/torch/tabular/transformations.py | 9 | 7 | 2 | 22% |
| models/torch/utils/data_utils.py | 14 | 9 | 5 | 36% |
| models/torch/utils/torch_utils.py | 20 | 14 | 6 | 30% |
| models/utils/dataset.py | 7 | 4 | 3 | 43% |
| models/utils/dependencies.py | 4 | 4 | 0 | 0% |
| models/utils/doc_utils.py | 1 | 1 | 0 | 0% |
| models/utils/misc_utils.py | 9 | 4 | 5 | 56% |
| models/utils/nvt_utils.py | 1 | 1 | 0 | 0% |
| models/utils/registry.py | 19 | 12 | 7 | 37% |
| models/utils/schema_utils.py | 12 | 9 | 3 | 25% |
| ------------------------------------------------------------- | -------------- | ------------- | -------------- | --------------- |
| TOTAL | 1172 | 692 | 480 | 41.0% |
| ------------------------------------------------------------------------------------------------------------------------- | ||||
| (16 of 98 files omitted due to complete coverage) |
