Best Practices on Recommendation Systems
This report summarizes scanner evidence for recommenders-team/recommenders, a Python project with 21,940 GitHub stars. SynthScan examined 53,033 lines of code across 338 source files, recording 645 pattern matches distributed across 19 syntactic categories. The legacy adjusted pattern signal is 22.4 (Elevated pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 438 finding(s).
Are imports declared and package/API names verified? 43 finding(s).
Are wrappers, guards, and repeated structures necessary? 459 finding(s).
Which changes need focused human review? 645 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 645 distinct pattern matches across 19 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tools/databricks_install.py | 133 | def prepare_for_operationalization( | STRING |
| LOW | tests/conftest.py | 133 | def train_test_dummy_timestamp(pandas_dummy_timestamp): | CODE |
| LOW | tests/conftest.py | 435 | def dataset_ncf_files_unsorted(data_paths, dataset_ncf_files): | CODE |
| LOW | tests/conftest.py | 462 | def dataset_ncf_files_missing_column(data_paths, dataset_ncf_files): | CODE |
| LOW | tests/README.md | 168 | def test_sar_single_node_runs(notebooks, output_notebook, kernel_name): | CODE |
| LOW | tests/README.md | 203 | def test_sar_single_node_smoke(notebooks, output_notebook, kernel_name): | CODE |
| LOW | tests/smoke/examples/test_notebooks_python.py | 15 | def test_sar_single_node_smoke(notebooks, output_notebook, kernel_name): | CODE |
| LOW | tests/smoke/examples/test_notebooks_python.py | 32 | def test_baseline_deep_dive_smoke(notebooks, output_notebook, kernel_name): | CODE |
| LOW | tests/smoke/examples/test_notebooks_python.py | 96 | def test_lightgbm_quickstart_smoke(notebooks, output_notebook, kernel_name): | CODE |
| LOW | tests/smoke/examples/test_notebooks_python.py | 120 | def test_lightgbm_movielens_smoke(notebooks, output_notebook, kernel_name): | CODE |
| LOW | tests/smoke/examples/test_notebooks_pyspark.py | 45 | def test_mmlspark_lightgbm_criteo_smoke(notebooks, output_notebook, kernel_name): | CODE |
| LOW | …sts/unit/recommenders/datasets/test_python_splitter.py | 350 | def test_int_numpy_stratified_splitter(test_specs, python_int_dataset): | CODE |
| LOW | …sts/unit/recommenders/datasets/test_python_splitter.py | 394 | def test_float_numpy_stratified_splitter(test_specs, python_float_dataset): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 39 | def test_maybe_download_wrong_bytes(caplog, files_fixtures): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 52 | def test_maybe_download_maybe(caplog, files_fixtures): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 66 | def test_maybe_download_retry(caplog): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 76 | def test_maybe_download_sets_default_timeout(tmp_path, monkeypatch): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 114 | def test_maybe_download_redownloads_corrupt_zip(tmp, caplog): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 144 | def test_maybe_download_num_attempts(tmp): | CODE |
| LOW | tests/unit/recommenders/datasets/test_download_utils.py | 163 | def test_maybe_download_wait_between_attempts(tmp): | CODE |
| LOW | …sts/unit/recommenders/datasets/test_pandas_df_utils.py | 34 | def test_negative_feedback_sampler(): | CODE |
| LOW | tests/unit/recommenders/utils/test_gpu_utils.py | 23 | def test_get_gpu_info_uses_torch_cuda(monkeypatch): | CODE |
| LOW | tests/unit/recommenders/utils/test_gpu_utils.py | 54 | def test_get_cuda_and_cudnn_version_without_cuda(monkeypatch): | CODE |
| LOW | tests/unit/recommenders/utils/test_gpu_utils.py | 65 | def test_get_cuda_and_cudnn_version_with_cuda(monkeypatch): | CODE |
| LOW | tests/unit/recommenders/utils/test_gpu_utils.py | 88 | def test_clear_memory_all_gpus(): | CODE |
| LOW | tests/unit/recommenders/utils/test_python_utils.py | 98 | def test_get_top_k_scored_items(scores): | CODE |
| LOW | tests/unit/recommenders/utils/test_notebook_utils.py | 120 | def test_notebook_execution_with_parameters( | STRING |
| LOW | tests/unit/recommenders/utils/test_notebook_utils.py | 141 | def test_notebook_execution_value_error_fails( | STRING |
| LOW | tests/unit/recommenders/utils/test_general_utils.py | 14 | def test_get_number_processors(): | CODE |
| LOW | tests/unit/recommenders/utils/test_timer.py | 29 | def test_interval_before_stop(t): | CODE |
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 302 | def test_get_popularity_based_topk(header): | CODE |
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 324 | def test_get_normalized_scores(header): | CODE |
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 383 | def test_match_similarity_type_from_json_file(header): | CODE |
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 406 | def test_dataset_with_duplicates(header): | CODE |
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 419 | def test_get_topk_most_similar_users(header): | CODE |
| LOW | tests/unit/recommenders/models/test_ncf_dataset.py | 79 | def test_datafile_init_unsorted(dataset_ncf_files_unsorted): | CODE |
| LOW | tests/unit/recommenders/models/test_ncf_dataset.py | 107 | def test_datafile_missing_column(dataset_ncf_files_missing_column): | CODE |
| LOW⚡ | tests/unit/recommenders/models/test_tfidf_utils.py | 111 | def test_recommend_top_k_items(model_fit, df_clean): | CODE |
| LOW⚡ | tests/unit/recommenders/models/test_tfidf_utils.py | 116 | def test_get_top_k_recommendations(model_fit, df_clean): | CODE |
| LOW⚡ | tests/unit/recommenders/models/test_tfidf_utils.py | 122 | def test_get_top_k_recommendations_scalar_index(): | CODE |
| LOW | tests/unit/recommenders/models/test_deeprec_model.py | 114 | def test_dkn_component_definition(dkn_files): | CODE |
| LOW | tests/unit/recommenders/models/test_deeprec_model.py | 197 | def test_nextitnet_component_definition(sequential_files, deeprec_config_path): | CODE |
| LOW | tests/unit/recommenders/models/test_deeprec_model.py | 235 | def test_sum_component_definition(sequential_files, deeprec_config_path): | CODE |
| LOW | tests/unit/recommenders/models/test_deeprec_model.py | 273 | def test_lightgcn_component_definition(): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 179 | def test_asvd_attention_weights_sum_to_one_over_time(): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 193 | def test_attention_fcn_masks_padded_positions(): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 220 | def test_dataset_time_features_floor_and_log(synthetic_slirec): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 240 | def test_dataset_eval_batch_shapes_and_mask(synthetic_slirec): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 263 | def test_dataset_train_negative_sampling_pattern(synthetic_slirec): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 290 | def test_slirec_dimension_coupling_asserted(synthetic_slirec): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 295 | def test_slirec_forward_shapes(synthetic_slirec): | CODE |
| LOW | tests/unit/recommenders/models/test_sli_rec.py | 314 | def test_slirec_fit_and_eval_smoke(synthetic_slirec): | CODE |
| LOW | tests/unit/recommenders/models/test_ffm_dataset.py | 25 | def test_parses_line_without_impression_id(): | CODE |
| LOW | tests/unit/recommenders/models/test_ffm_dataset.py | 46 | def test_groups_features_into_one_bag_per_field(synthetic_ffm): | CODE |
| LOW | tests/unit/recommenders/models/test_ffm_dataset.py | 60 | def test_sorts_features_by_field(tmp_path): | CODE |
| LOW | tests/unit/recommenders/models/test_ffm_dataset.py | 75 | def test_emits_the_dtypes_the_model_consumes(synthetic_ffm): | CODE |
| LOW | tests/unit/recommenders/models/test_ffm_dataset.py | 87 | def test_rejects_field_index_beyond_field_count(tmp_path): | CODE |
| LOW | tests/unit/recommenders/models/test_vowpal_wabbit.py | 84 | def test_to_vw_file_multiclass_keeps_labels(df): | CODE |
| LOW | tests/unit/recommenders/models/test_vowpal_wabbit.py | 102 | def test_logistic_without_binary_threshold(): | CODE |
| LOW | tests/unit/recommenders/models/test_vowpal_wabbit.py | 128 | def test_fit_and_predict_with_vw(model, df): | CODE |
| 207 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | recommenders/models/wide_deep/wide_deep_utils.py | 184 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/wide_deep/wide_deep_utils.py | 186 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/wide_deep/wide_deep_utils.py | 427 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | recommenders/models/wide_deep/wide_deep_utils.py | 429 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 164 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 166 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 211 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 213 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 280 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 282 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 656 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | recommenders/models/rbm/rbm.py | 658 | # ------------------------------------------------------------------ | COMMENT |
| MEDIUM | .github/workflows/self-hosted-runner.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/self-hosted-runner.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/compshare-vm.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/compshare-vm.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/unit-tests.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/unit-tests.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/sarplus.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/sarplus.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 9 | # ┌───────────── minute (0 - 59) | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 10 | # │ ┌───────────── hour (0 - 23) | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 11 | # │ │ ┌───────────── day of the month (1 - 31) | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 12 | # │ │ │ ┌───────────── month (1 - 12 or JAN-DEC) | COMMENT |
| MEDIUM⚡ | .github/workflows/spark-nightly.yml | 13 | # │ │ │ │ ┌───────────── day of the week (0 - 6 or SUN-SAT) | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 9 | # ┌───────────── minute (0 - 59) | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 10 | # │ ┌───────────── hour (0 - 23) | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 11 | # │ │ ┌───────────── day of the month (1 - 31) | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 12 | # │ │ │ ┌───────────── month (1 - 12 or JAN-DEC) | COMMENT |
| MEDIUM⚡ | .github/workflows/gpu-nightly.yml | 13 | # │ │ │ │ ┌───────────── day of the week (0 - 6 or SUN-SAT) | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 9 | # ┌───────────── minute (0 - 59) | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 10 | # │ ┌───────────── hour (0 - 23) | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 11 | # │ │ ┌───────────── day of the month (1 - 31) | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 12 | # │ │ │ ┌───────────── month (1 - 12 or JAN-DEC) | COMMENT |
| MEDIUM⚡ | .github/workflows/cpu-nightly.yml | 13 | # │ │ │ │ ┌───────────── day of the week (0 - 6 or SUN-SAT) | COMMENT |
| MEDIUM | .github/workflows/update_documentation.yml | 1 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/update_documentation.yml | 4 | # --------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/tools/compshare/utils.sh | 15 | #--------------------------------------------------------------------- | COMMENT |
| MEDIUM | .github/workflows/tools/compshare/utils.sh | 17 | #--------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/tools/compshare/utils.sh | 329 | #--------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/tools/compshare/utils.sh | 331 | #--------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/tools/compshare/utils.sh | 459 | #--------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | .github/workflows/tools/compshare/utils.sh | 461 | #--------------------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | tests/smoke/recommenders/models/test_deeprec_utils.py | 22 | except ImportError: | CODE |
| HIGH | tests/smoke/recommenders/models/test_deeprec_model.py | 26 | except ImportError: | CODE |
| HIGH | tests/smoke/recommenders/models/test_deeprec_model.py | 31 | except ImportError: | CODE |
| HIGH | tests/smoke/recommenders/models/test_newsrec_utils.py | 13 | except ImportError: | CODE |
| HIGH | tests/smoke/recommenders/models/test_newsrec_model.py | 16 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/datasets/test_spark_splitter.py | 25 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/utils/test_gpu_utils.py | 19 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_deeprec_utils.py | 14 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_deeprec_model.py | 34 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_sli_rec.py | 28 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_newsrec_utils.py | 10 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_sasrec_model.py | 20 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_lightfm_utils.py | 18 | except ModuleNotFoundError: | CODE |
| HIGH | tests/unit/recommenders/models/test_newsrec_model.py | 16 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_geoimc.py | 20 | except: | CODE |
| HIGH | tests/unit/recommenders/models/test_rbm.py | 14 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_fcn_net.py | 11 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_xdeepfm.py | 13 | except ImportError: | CODE |
| HIGH | tests/unit/recommenders/models/test_wide_deep_utils.py | 24 | except ImportError: | CODE |
| HIGH | …/unit/recommenders/evaluation/test_spark_evaluation.py | 26 | except ImportError: | CODE |
| HIGH | tests/security/test_dependency_security.py | 15 | except ImportError: | CODE |
| HIGH | …ata_validation/recommenders/datasets/test_movielens.py | 19 | except ImportError: | CODE |
| HIGH | recommenders/datasets/split_utils.py | 14 | except ImportError: | CODE |
| HIGH | recommenders/datasets/movielens.py | 36 | except ImportError: | CODE |
| HIGH | recommenders/datasets/movielens.py | 536 | except IndexError: | CODE |
| HIGH | recommenders/datasets/criteo.py | 11 | except ImportError: | CODE |
| HIGH | recommenders/datasets/spark_splitters.py | 9 | except ImportError: | CODE |
| HIGH | recommenders/utils/spark_utils.py | 9 | except ImportError: | CODE |
| HIGH | recommenders/evaluation/spark_evaluation.py | 14 | except ImportError: | CODE |
| HIGH | examples/06_benchmarks/benchmark_utils.py | 48 | except (ImportError, NameError): | CODE |
| HIGH | examples/06_benchmarks/benchmark_utils.py | 60 | except ImportError: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | tests/conftest.py | 0 | helper function to generate random timestamps. reference: https://stackoverflow.com/questions/41006182/generate-random-d | STRING |
| HIGH | …sts/unit/recommenders/datasets/test_python_splitter.py | 0 | helper function to generate random timestamps. reference: https://stackoverflow.com/questions/41006182/generate-random-d | STRING |
| HIGH | tests/unit/recommenders/datasets/test_sparse.py | 0 | helper function to generate random timestamps. reference: https://stackoverflow.com/questions/41006182/generate-random-d | STRING |
| HIGH | recommenders/models/newsrec/io/mind_all_iterator.py | 0 | initialize an iterator. create necessary placeholders for the model. args: hparams (object): global hyper-parameters. so | STRING |
| HIGH | recommenders/models/deeprec/io/dkn_iterator.py | 0 | initialize an iterator. create necessary placeholders for the model. args: hparams (object): global hyper-parameters. so | STRING |
| HIGH | recommenders/models/deeprec/io/nextitnet_iterator.py | 0 | initialize an iterator. create necessary placeholders for the model. args: hparams (object): global hyper-parameters. so | STRING |
| HIGH | recommenders/models/deeprec/io/sequential_iterator.py | 0 | initialize an iterator. create necessary placeholders for the model. args: hparams (object): global hyper-parameters. so | STRING |
| HIGH | recommenders/models/newsrec/models/lstur.py | 0 | initialization steps for nrms. compared with the basemodel, nrms need word embedding. after creating word embedding matr | STRING |
| HIGH | recommenders/models/newsrec/models/naml.py | 0 | initialization steps for nrms. compared with the basemodel, nrms need word embedding. after creating word embedding matr | STRING |
| HIGH | recommenders/models/newsrec/models/nrms.py | 0 | initialization steps for nrms. compared with the basemodel, nrms need word embedding. after creating word embedding matr | STRING |
| HIGH | recommenders/models/newsrec/models/npa.py | 0 | initialization steps for nrms. compared with the basemodel, nrms need word embedding. after creating word embedding matr | STRING |
| HIGH | recommenders/models/newsrec/models/lstur.py | 0 | build npa model and scorer. returns: object: a model used to train. object: a model used to evaluate and inference. | STRING |
| HIGH | recommenders/models/newsrec/models/naml.py | 0 | build npa model and scorer. returns: object: a model used to train. object: a model used to evaluate and inference. | STRING |
| HIGH | recommenders/models/newsrec/models/nrms.py | 0 | build npa model and scorer. returns: object: a model used to train. object: a model used to evaluate and inference. | STRING |
| HIGH | recommenders/models/newsrec/models/npa.py | 0 | build npa model and scorer. returns: object: a model used to train. object: a model used to evaluate and inference. | STRING |
| HIGH | recommenders/models/newsrec/models/lstur.py | 0 | the main function to create user encoder of npa. args: titleencoder (object): the news encoder of npa. return: object: t | STRING |
| HIGH | recommenders/models/newsrec/models/nrms.py | 0 | the main function to create user encoder of npa. args: titleencoder (object): the news encoder of npa. return: object: t | STRING |
| HIGH | recommenders/models/newsrec/models/npa.py | 0 | the main function to create user encoder of npa. args: titleencoder (object): the news encoder of npa. return: object: t | STRING |
| HIGH | recommenders/models/newsrec/models/lstur.py | 0 | the main function to create news encoder of npa. args: embedding_layer (object): a word embedding layer. return: object: | STRING |
| HIGH | recommenders/models/newsrec/models/nrms.py | 0 | the main function to create news encoder of npa. args: embedding_layer (object): a word embedding layer. return: object: | STRING |
| HIGH | recommenders/models/newsrec/models/npa.py | 0 | the main function to create news encoder of npa. args: embedding_layer (object): a word embedding layer. return: object: | STRING |
| HIGH | recommenders/models/newsrec/models/base_model.py | 0 | initializing the model. create common logics which are needed by all sequential models, such as loss function, parameter | STRING |
| HIGH | recommenders/models/deeprec/models/base_model.py | 0 | initializing the model. create common logics which are needed by all sequential models, such as loss function, parameter | STRING |
| HIGH | …els/deeprec/models/sequential/sequential_base_model.py | 0 | initializing the model. create common logics which are needed by all sequential models, such as loss function, parameter | STRING |
| HIGH | recommenders/models/newsrec/models/base_model.py | 0 | evaluate the given file and returns some evaluation metrics. args: filename (str): a file name that will be evaluated. r | STRING |
| HIGH | recommenders/models/deeprec/models/base_model.py | 0 | evaluate the given file and returns some evaluation metrics. args: filename (str): a file name that will be evaluated. r | STRING |
| HIGH | recommenders/models/deeprec/models/dkn_item2item.py | 0 | evaluate the given file and returns some evaluation metrics. args: filename (str): a file name that will be evaluated. r | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| CRITICAL | recommenders/models/newsrec/models/base_model.py | 68 | tf.compat.v1.keras.backend.set_session(sess) | CODE |
| CRITICAL | recommenders/models/deeprec/models/dkn.py | 402 | initializer=tf.compat.v1.keras.initializers.VarianceScaling( | CODE |
| CRITICAL | recommenders/models/deeprec/models/dkn_item2item.py | 77 | initializer=tf.compat.v1.keras.initializers.VarianceScaling( | CODE |
| CRITICAL⚡ | recommenders/models/deeprec/models/base_model.py | 183 | return tf.compat.v1.keras.initializers.VarianceScaling( | CODE |
| CRITICAL⚡ | recommenders/models/deeprec/models/base_model.py | 190 | return tf.compat.v1.keras.initializers.VarianceScaling( | CODE |
| CRITICAL⚡ | recommenders/models/deeprec/models/base_model.py | 197 | return tf.compat.v1.keras.initializers.VarianceScaling( | CODE |
| CRITICAL⚡ | recommenders/models/deeprec/models/base_model.py | 204 | return tf.compat.v1.keras.initializers.VarianceScaling( | CODE |
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|---|---|---|---|---|
| LOW | SETUP.md | 41 | COMMENT | |
| LOW | tests/test_groups.yml | 1 | # Copyright (c) Recommenders contributors. | COMMENT |
| LOW | tests/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/smoke/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/smoke/recommenders/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/smoke/recommenders/models/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/smoke/examples/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/recommenders/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/recommenders/datasets/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/recommenders/utils/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/recommenders/models/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/recommenders/tuning/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/recommenders/evaluation/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/unit/examples/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/responsible_ai/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/responsible_ai/recommenders/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/responsible_ai/recommenders/datasets/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/security/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/integration/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/integration/recommenders/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/integration/recommenders/utils/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/data_validation/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/data_validation/recommenders/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/data_validation/recommenders/datasets/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/data_validation/examples/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/regression/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/performance/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/performance/recommenders/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/performance/recommenders/evaluation/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/functional/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | tests/functional/examples/__init__.py | 1 | # Needed to execute the AzureML tests | COMMENT |
| LOW | contrib/sarplus/README.md | 81 | ) | COMMENT |
| LOW | contrib/sarplus/README.md | 101 | # ```python | COMMENT |
| LOW | contrib/sarplus/README.md | 121 | # col_rating="rating", | COMMENT |
| LOW | contrib/sarplus/python/src/pysarplus.cpp | 1 | /* | COMMENT |
| LOW | recommenders/utils/notebook_memory_management.py | 1 | # Original code: https://raw.githubusercontent.com/miguelgfierro/codebase/master/python/system/notebook_memory_managemen | COMMENT |
| LOW | …s/models/deeprec/models/sequential/pytorch/__init__.py | 1 | # Copyright (c) Recommenders contributors. | COMMENT |
| LOW | recommenders/models/deeprec/models/pytorch/__init__.py | 1 | # Copyright (c) Recommenders contributors. | COMMENT |
| LOW | …amples/07_tutorials/KDD2020-tutorial/reco_gpu_kdd.yaml | 1 | # | COMMENT |
| LOW | …amples/07_tutorials/KDD2020-tutorial/reco_cpu_kdd.yaml | 1 | # | COMMENT |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/data_helper.py | 61 | # Returns: | COMMENT |
| LOW | .github/workflows/self-hosted-runner.yml | 1 | # --------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/compshare-vm.yml | 1 | # --------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/sarplus.yml | 1 | # --------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/spark-nightly.yml | 1 | # --------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/gpu-nightly.yml | 1 | # --------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/cpu-nightly.yml | 1 | # --------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 1 | #! /bin/bash - | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 321 | --retry 5 --retry-delay 5 --retry-all-errors \ | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 461 | #--------------------------------------------------------------------- | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 641 | check_vm_requirement() { | COMMENT |
| LOW | .github/workflows/tools/compshare/setup_vm.sh | 1 | #! /bin/bash - | COMMENT |
| LOW | .github/workflows/tools/compshare/setup_vm.sh | 21 | # | COMMENT |
| LOW | .github/workflows/tools/compshare/install_docker.sh | 1 | #! /bin/bash - | COMMENT |
| LOW | .github/workflows/tools/compshare/delete_vm.sh | 1 | #! /bin/bash - | COMMENT |
| LOW | .github/workflows/tools/compshare/configure.sh | 1 | #! /bin/bash - | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tests/unit/recommenders/models/conftest.py | 14 | CODE | |
| LOW | tests/unit/recommenders/models/test_sasrec_model.py | 40 | CODE | |
| LOW | recommenders/datasets/mind.py | 274 | CODE | |
| LOW | recommenders/datasets/mind.py | 409 | CODE | |
| LOW | recommenders/datasets/pandas_df_utils.py | 182 | CODE | |
| LOW | recommenders/datasets/download_utils.py | 54 | CODE | |
| LOW | recommenders/datasets/wikidata.py | 263 | CODE | |
| LOW | recommenders/datasets/amazon_reviews.py | 192 | CODE | |
| LOW | recommenders/datasets/amazon_reviews.py | 266 | CODE | |
| LOW | recommenders/datasets/amazon_reviews.py | 459 | CODE | |
| LOW | recommenders/utils/notebook_utils.py | 130 | CODE | |
| LOW | recommenders/models/newsrec/newsrec_utils.py | 82 | CODE | |
| LOW | recommenders/models/deeprec/deeprec_utils.py | 134 | CODE | |
| LOW | recommenders/models/deeprec/deeprec_utils.py | 514 | CODE | |
| LOW | recommenders/models/deeprec/io/sequential_dataset.py | 251 | CODE | |
| LOW | recommenders/models/deeprec/io/nextitnet_iterator.py | 72 | CODE | |
| LOW | recommenders/models/deeprec/io/sequential_iterator.py | 277 | CODE | |
| LOW | recommenders/models/deeprec/models/dkn.py | 349 | CODE | |
| LOW | recommenders/models/deeprec/models/base_model.py | 169 | CODE | |
| LOW | recommenders/models/deeprec/models/base_model.py | 215 | CODE | |
| LOW | recommenders/models/deeprec/models/base_model.py | 274 | CODE | |
| LOW | recommenders/models/deeprec/models/base_model.py | 339 | CODE | |
| LOW | recommenders/models/deeprec/models/base_model.py | 652 | CODE | |
| LOW | …els/deeprec/models/sequential/sequential_base_model.py | 76 | CODE | |
| LOW | …s/deeprec/models/sequential/pytorch/sequential_base.py | 66 | CODE | |
| LOW | …s/deeprec/models/sequential/pytorch/sequential_base.py | 356 | CODE | |
| LOW | recommenders/models/deeprec/models/graphrec/lightgcn.py | 372 | CODE | |
| LOW | recommenders/models/deeprec/models/pytorch/xdeepfm.py | 364 | CODE | |
| LOW | recommenders/models/rlrmc/conjugate_gradient_ms.py | 56 | CODE | |
| LOW | recommenders/models/sar/sar_singlenode.py | 226 | CODE | |
| LOW | recommenders/models/ncf/ncf_singlenode.py | 180 | CODE | |
| LOW | recommenders/models/ncf/dataset.py | 142 | CODE | |
| LOW | recommenders/models/ncf/dataset.py | 404 | CODE | |
| LOW | recommenders/models/wide_deep/wide_deep_utils.py | 509 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 461 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 657 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 784 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 881 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 22 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 236 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 293 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 356 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 487 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 552 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 635 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 742 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 5 | CODE | |
| LOW | tests/unit/recommenders/models/test_embdotbias_model.py | 7 | CODE | |
| LOW | tests/unit/examples/test_notebooks_python.py | 5 | CODE | |
| LOW | tests/regression/test_compatibility_tf.py | 13 | CODE | |
| LOW | tests/regression/test_compatibility_tf.py | 14 | CODE | |
| LOW | contrib/sarplus/python/pysarplus/__init__.py | 6 | CODE | |
| LOW | contrib/sarplus/python/pysarplus/__init__.py | 7 | CODE | |
| LOW | recommenders/datasets/python_splitters.py | 4 | CODE | |
| LOW | recommenders/utils/notebook_memory_management.py | 14 | CODE | |
| LOW | recommenders/utils/notebook_memory_management.py | 15 | CODE | |
| LOW | recommenders/utils/notebook_memory_management.py | 16 | CODE | |
| LOW | recommenders/utils/notebook_memory_management.py | 17 | CODE | |
| LOW | recommenders/utils/spark_utils.py | 8 | CODE | |
| LOW | recommenders/models/deeprec/io/ffm_dataset.py | 22 | CODE | |
| LOW | recommenders/models/deeprec/io/sequential_dataset.py | 19 | CODE | |
| LOW | …rs/models/deeprec/models/sequential/pytorch/sli_rec.py | 14 | CODE | |
| LOW | …s/models/deeprec/models/sequential/pytorch/rnn_cell.py | 19 | CODE | |
| LOW | …s/deeprec/models/sequential/pytorch/sequential_base.py | 30 | CODE | |
| LOW | recommenders/models/deeprec/models/graphrec/lightgcn.py | 4 | CODE | |
| LOW | recommenders/models/deeprec/models/pytorch/fcn_net.py | 14 | CODE | |
| LOW | recommenders/models/deeprec/models/pytorch/xdeepfm.py | 21 | CODE | |
| LOW | recommenders/models/rlrmc/conjugate_gradient_ms.py | 6 | CODE | |
| LOW | recommenders/models/rlrmc/conjugate_gradient_ms.py | 6 | CODE | |
| LOW | recommenders/models/embdotbias/training_utils.py | 9 | CODE | |
| LOW | recommenders/models/embdotbias/training_utils.py | 9 | CODE | |
| LOW | recommenders/models/embdotbias/training_utils.py | 9 | CODE | |
| LOW | recommenders/models/embdotbias/training_utils.py | 9 | CODE | |
| LOW | recommenders/models/embdotbias/training_utils.py | 9 | CODE | |
| LOW | recommenders/models/sar/__init__.py | 4 | CODE | |
| LOW | …odel_select_and_optimize/train_scripts/svd_training.py | 17 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/data_helper.py | 8 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 12 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 18 | CODE | |
| LOW | …les/07_tutorials/KDD2020-tutorial/utils/task_helper.py | 19 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | recommenders/datasets/split_utils.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/datasets/pandas_df_utils.py | 17 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/datasets/wikidata.py | 11 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/utils/k8s_utils.py | 7 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/utils/gpu_utils.py | 8 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/newsrec/io/mind_iterator.py | 11 | __all__ = ["MINDIterator"] | CODE |
| LOW | recommenders/models/newsrec/io/mind_all_iterator.py | 11 | __all__ = ["MINDAllIterator"] | CODE |
| LOW | recommenders/models/newsrec/models/lstur.py | 15 | __all__ = ["LSTURModel"] | CODE |
| LOW | recommenders/models/newsrec/models/naml.py | 12 | __all__ = ["NAMLModel"] | CODE |
| LOW | recommenders/models/newsrec/models/base_model.py | 15 | __all__ = ["BaseModel"] | CODE |
| LOW | recommenders/models/newsrec/models/nrms.py | 11 | __all__ = ["NRMSModel"] | CODE |
| LOW | recommenders/models/newsrec/models/npa.py | 11 | __all__ = ["NPAModel"] | CODE |
| LOW | recommenders/models/deeprec/io/sequential_dataset.py | 27 | __all__ = ["SequentialDataset"] | CODE |
| LOW | recommenders/models/deeprec/io/dkn_iterator.py | 10 | __all__ = ["DKNTextIterator"] | CODE |
| LOW | recommenders/models/deeprec/io/nextitnet_iterator.py | 12 | __all__ = ["NextItNetIterator"] | CODE |
| LOW | recommenders/models/deeprec/io/sequential_iterator.py | 12 | __all__ = ["SequentialIterator"] | CODE |
| LOW | recommenders/models/deeprec/models/dkn.py | 9 | __all__ = ["DKN"] | CODE |
| LOW | recommenders/models/deeprec/models/base_model.py | 14 | __all__ = ["BaseModel"] | CODE |
| LOW | …els/deeprec/models/sequential/sequential_base_model.py | 14 | __all__ = ["SequentialBaseModel"] | CODE |
| LOW | recommenders/models/deeprec/models/sequential/caser.py | 9 | __all__ = ["CaserModel"] | CODE |
| LOW | recommenders/models/deeprec/models/sequential/asvd.py | 9 | __all__ = ["A2SVDModel"] | CODE |
| LOW | recommenders/models/deeprec/models/sequential/gru.py | 11 | __all__ = ["GRUModel"] | CODE |
| LOW | …mmenders/models/deeprec/models/sequential/nextitnet.py | 9 | __all__ = ["NextItNetModel"] | CODE |
| LOW | …rs/models/deeprec/models/sequential/pytorch/sli_rec.py | 30 | __all__ = ["SLiRecModel"] | CODE |
| LOW | …s/models/deeprec/models/sequential/pytorch/rnn_cell.py | 26 | __all__ = ["Time4LSTMCell", "time4lstm_scan"] | CODE |
| LOW | recommenders/models/deeprec/models/graphrec/lightgcn.py | 32 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/deeprec/models/pytorch/fcn_net.py | 21 | __all__ = ["FcnNet"] | CODE |
| LOW | recommenders/models/deeprec/models/pytorch/xdeepfm.py | 34 | __all__ = ["CIN", "XDeepFMModel"] | CODE |
| LOW | recommenders/models/deeprec/DataModel/ImplicitCF.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/rlrmc/RLRMCalgorithm.py | 17 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/embdotbias/training_utils.py | 18 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/ncf/ncf_singlenode.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/ncf/dataset.py | 20 | logger = logging.getLogger(__name__) | CODE |
| LOW | recommenders/models/wide_deep/wide_deep_utils.py | 21 | logger = logging.getLogger(__name__) | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | tools/databricks_install.py | 238 | # Create a cluster if flagged | STRING |
| MEDIUM | tests/unit/recommenders/models/test_embdotbias_utils.py | 79 | # Create a dummy model | COMMENT |
| MEDIUM | recommenders/utils/notebook_utils.py | 59 | # Define a regular expression pattern to match parameter assignments and ignore comments | COMMENT |
| MEDIUM | recommenders/utils/notebook_utils.py | 98 | # Create an execution preprocessor | COMMENT |
| MEDIUM | recommenders/models/deeprec/models/dkn.py | 385 | # Create a convolution + maxpool layer for each filter size | COMMENT |
| MEDIUM | recommenders/models/embdotbias/model.py | 99 | # Create a mapping from entity ID (user or item) to its integer index in the embedding matrix | COMMENT |
| MEDIUM | recommenders/models/tfidf/tfidf_utils.py | 37 | # Initialize other variables used in this class | COMMENT |
| MEDIUM⚡ | .github/workflows/tools/compshare/utils.sh | 333 | # Create a VM instance | COMMENT |
| MEDIUM⚡ | .github/workflows/tools/compshare/utils.sh | 463 | # Create a VM with random names and password from available types | COMMENT |
| MEDIUM | .github/workflows/tools/compshare/setup_vm.sh | 7 | # Create a CompShare VM and prepare the environment for testing | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | recommenders/models/deeprec/config/sli_rec.yaml | 12 | layer_sizes : [100, 64] # layers' size of DNN. In this example, DNN has two layers, and each layer has 100 hidden n | CODE |
| HIGH | recommenders/models/deeprec/config/nextitnet.yaml | 12 | layer_sizes : [100, 64] # layers' size of DNN. In this example, DNN has two layers, and each layer has 100 hidden n | CODE |
| HIGH | recommenders/models/deeprec/config/sum.yaml | 12 | layer_sizes : [100, 64] # layers' size of DNN. In this example, DNN has two layers, and each layer has 100 hidden n | CODE |
| HIGH | recommenders/models/deeprec/config/asvd.yaml | 12 | layer_sizes : [100, 64] # layers' size of DNN. In this example, DNN has two layers, and each layer has 100 hidden n | CODE |
| HIGH | recommenders/models/deeprec/config/caser.yaml | 12 | layer_sizes : [100, 64] # layers' size of DNN. In this example, DNN has two layers, and each layer has 100 hidden n | CODE |
| HIGH | recommenders/models/deeprec/config/gru.yaml | 12 | layer_sizes : [100, 64] # layers' size of DNN. In this example, DNN has two layers, and each layer has 100 hidden n | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | contrib/sarplus/python/pysarplus/SARPlus.py | 29 | CODE | |
| LOW | recommenders/datasets/python_splitters.py | 44 | CODE | |
| LOW | recommenders/datasets/pandas_df_utils.py | 267 | CODE | |
| LOW | recommenders/datasets/movielens.py | 378 | CODE | |
| LOW | recommenders/datasets/spark_splitters.py | 48 | CODE | |
| LOW | recommenders/utils/plot.py | 4 | CODE | |
| LOW | recommenders/models/newsrec/models/base_model.py | 340 | CODE | |
| LOW | recommenders/models/deeprec/models/dkn_item2item.py | 129 | CODE | |
| LOW | recommenders/models/deeprec/models/base_model.py | 650 | CODE | |
| LOW | …rs/models/deeprec/models/sequential/pytorch/sli_rec.py | 92 | CODE | |
| LOW | …s/deeprec/models/sequential/pytorch/sequential_base.py | 188 | CODE | |
| LOW | …s/deeprec/models/sequential/pytorch/sequential_base.py | 356 | CODE | |
| LOW | recommenders/models/deeprec/models/graphrec/lightgcn.py | 217 | CODE | |
| LOW | recommenders/models/deeprec/models/pytorch/xdeepfm.py | 136 | CODE | |
| LOW | recommenders/models/deeprec/models/pytorch/xdeepfm.py | 364 | CODE | |
| LOW | recommenders/models/sar/sar_singlenode.py | 43 | CODE | |
| LOW | recommenders/models/ncf/ncf_singlenode.py | 27 | CODE | |
| LOW | recommenders/models/ncf/dataset.py | 304 | CODE | |
| LOW | recommenders/models/wide_deep/wide_deep_utils.py | 55 | CODE | |
| LOW | recommenders/models/wide_deep/wide_deep_utils.py | 188 | CODE | |
| LOW | recommenders/models/rbm/rbm.py | 529 | CODE | |
| LOW | recommenders/models/vae/standard_vae.py | 83 | CODE | |
| LOW | recommenders/models/vae/multinomial_vae.py | 98 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 167 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 255 | CODE | |
| LOW | recommenders/models/sasrec/model.py | 354 | CODE | |
| LOW | recommenders/evaluation/python_evaluation.py | 616 | CODE | |
| LOW | examples/06_benchmarks/benchmark_utils.py | 182 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …sts/unit/recommenders/datasets/test_pandas_df_utils.py | 173 | # Check if the dim is the same. | COMMENT |
| LOW⚡ | …sts/unit/recommenders/datasets/test_pandas_df_utils.py | 176 | # Check if the columns are converted successfully. | COMMENT |
| LOW⚡ | …sts/unit/recommenders/datasets/test_pandas_df_utils.py | 185 | # Check if the duplicated column entries are indexed correctly. | COMMENT |
| LOW⚡ | …sts/unit/recommenders/datasets/test_pandas_df_utils.py | 195 | # Check if the file is written successfully. | COMMENT |
| LOW | tests/unit/recommenders/models/test_sar_singlenode.py | 178 | # Set time_now to 60 days later | COMMENT |
| LOW | …unit/recommenders/evaluation/test_python_evaluation.py | 71 | # Check if _check_column_dtypes wraps the input function (i.e. returns the same output as the input function's) | COMMENT |
| LOW | contrib/sarplus/python/tests/test_pyspark_sar.py | 323 | # Set time_now to 60 days later | COMMENT |
| LOW | recommenders/utils/notebook_utils.py | 56 | # Check if the new value is a string and surround it with quotes if necessary | COMMENT |
| LOW | recommenders/models/tfidf/tfidf_utils.py | 104 | # Check if for BERT tokenization | COMMENT |
| LOW | recommenders/evaluation/spark_evaluation.py | 65 | # Check if inputs are Spark DataFrames. | COMMENT |
| LOW | recommenders/evaluation/spark_evaluation.py | 76 | # Check if columns exist. | COMMENT |
| LOW | recommenders/evaluation/spark_evaluation.py | 217 | # Check if inputs are Spark DataFrames. | COMMENT |
| LOW | recommenders/evaluation/spark_evaluation.py | 228 | # Check if columns exist. | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 494 | # Check if the compute satisfy requirements | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 642 | # Check if the VM specification match the requirements. | COMMENT |
| LOW | .github/workflows/tools/compshare/utils.sh | 714 | # Set timeout to (5 + 5) * 30 = 300 seconds | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | recommenders/datasets/pandas_df_utils.py | 87 | Converts an input dataframe to another dataframe in libffm format. A text file of the converted Dataframe is optiona | STRING |
| HIGH | recommenders/datasets/pandas_df_utils.py | 279 | Utility function to sample negative feedback from user-item interaction dataset. This negative sampling function wil | STRING |
| HIGH | recommenders/datasets/download_utils.py | 112 | Return a path to download data. If `path=None`, then it yields a temporal path that is eventually deleted, otherwise | STRING |
| HIGH | recommenders/datasets/movielens.py | 634 | Generate a fake movielens DataFrame with all columns. Args: size (int): number of rows to generate. | STRING |
| HIGH | recommenders/models/sasrec/util.py | 48 | Split user interactions into train/valid/test sets using leave-k-out strategy. For each user with enou | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tools/databricks_install.py | 106 | except Exception: | STRING |
| LOW | recommenders/datasets/criteo.py | 118 | except Exception: | CODE |
| LOW | recommenders/datasets/wikidata.py | 41 | except Exception as e: | CODE |
| LOW | recommenders/datasets/wikidata.py | 105 | except Exception as e: | CODE |
| LOW | recommenders/datasets/wikidata.py | 126 | except Exception as e: | CODE |
| LOW | recommenders/datasets/wikidata.py | 190 | except Exception as e: | STRING |
| LOW | recommenders/datasets/wikidata.py | 257 | except Exception as e: | STRING |
| LOW | recommenders/datasets/wikidata.py | 280 | except Exception as e: | STRING |
| LOW | recommenders/datasets/wikidata.py | 291 | except Exception as e: | STRING |
| MEDIUM | recommenders/datasets/wikidata.py | 38 | def wrapper(*args, **kwargs): | CODE |
| LOW | recommenders/datasets/covid_utils.py | 137 | except Exception: | CODE |
| LOW | recommenders/utils/general_utils.py | 42 | except Exception: | CODE |
| LOW | recommenders/utils/notebook_memory_management.py | 35 | except Exception: | CODE |
| LOW | recommenders/models/deeprec/deeprec_utils.py | 301 | except Exception: # for other exceptions | CODE |
| LOW | recommenders/models/deeprec/models/base_model.py | 433 | except Exception: | CODE |
| LOW | recommenders/models/deeprec/models/graphrec/lightgcn.py | 367 | except Exception: | CODE |
| LOW | recommenders/models/embdotbias/training_utils.py | 136 | except Exception as e: | CODE |
| LOW | recommenders/models/tfidf/tfidf_utils.py | 82 | except Exception: | CODE |
| LOW | recommenders/models/tfidf/tfidf_utils.py | 218 | except Exception: | CODE |
| LOW | recommenders/models/tfidf/tfidf_utils.py | 230 | except Exception: | CODE |
| LOW | recommenders/tuning/nni/ncf_training.py | 171 | except Exception as exception: | CODE |
| LOW | recommenders/tuning/nni/nni_utils.py | 70 | except Exception: | CODE |
| LOW | recommenders/tuning/nni/svd_training.py | 183 | except Exception as exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | tests/unit/recommenders/models/test_ncf_dataset.py | 66 | assert train.equals(datafile_df) | CODE |
| HIGH | tests/unit/recommenders/models/test_ncf_dataset.py | 201 | assert train_file_data.equals(train_loader_df) | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | .github/workflows/tools/compshare/utils.sh | 781 | # NOTE: This function is only for a single command without | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | tools/databricks_install.py | 235 | # first make sure you are using the correct profile and connecting to the intended workspace | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | recommenders/datasets/wikidata.py | 34 | def my_function(): | STRING |