From 19a3a283de9122a67369513dee075102cf8e74af Mon Sep 17 00:00:00 2001 From: Daniele Tria Date: Wed, 17 Jul 2024 15:02:51 +0200 Subject: [PATCH] fix: edit regression line structure in model quality dto, edit demo model --- api/app/models/metrics/model_quality_dto.py | 7 ++++++- api/tests/commons/db_mock.py | 5 ++++- init-data/init_db.sql | 4 ++-- .../models/dataset_model_quality.py | 7 ++++++- sdk/tests/apis/model_current_dataset_test.py | 15 ++++++++++++++- sdk/tests/apis/model_reference_dataset_test.py | 11 ++++++++++- 6 files changed, 42 insertions(+), 7 deletions(-) diff --git a/api/app/models/metrics/model_quality_dto.py b/api/app/models/metrics/model_quality_dto.py index 0e8b088c..66686cfc 100644 --- a/api/app/models/metrics/model_quality_dto.py +++ b/api/app/models/metrics/model_quality_dto.py @@ -137,6 +137,11 @@ class Histogram(BaseModel): values: Optional[List[int]] = None +class RegressionLine(BaseModel): + coefficient: Optional[float] = None + intercept: Optional[float] = None + + class ResidualsMetrics(BaseModel): ks: KsMetrics correlation_coefficient: Optional[float] = None @@ -144,7 +149,7 @@ class ResidualsMetrics(BaseModel): standardized_residuals: List[float] predictions: List[float] targets: List[float] - regression_line: List[List[float]] + regression_line: RegressionLine model_config = ConfigDict(populate_by_name=True, alias_generator=to_camel) diff --git a/api/tests/commons/db_mock.py b/api/tests/commons/db_mock.py index 4737cf8e..a1f0d1b0 100644 --- a/api/tests/commons/db_mock.py +++ b/api/tests/commons/db_mock.py @@ -337,7 +337,10 @@ def get_sample_current_dataset( 'standardized_residuals': [0.02, 0.03], 'targets': [1, 2.2, 3], 'predictions': [1.3, 2, 4.5], - 'regression_line': [[1.2, 0.3], [1.4, 2.3]], + 'regression_line': { + 'coefficient': 0.7942363125434776, + 'intercept': 2.8227418911402906, + }, }, } diff --git a/init-data/init_db.sql b/init-data/init_db.sql index a8f5c991..00ccd05d 100644 --- a/init-data/init_db.sql +++ b/init-data/init_db.sql @@ -20,10 +20,10 @@ INSERT INTO "current_dataset" ("UUID", "MODEL_UUID", "PATH", "DATE", "CORRELATIO INSERT INTO "reference_dataset_metrics" ("UUID", "REFERENCE_UUID", "MODEL_QUALITY", "DATA_QUALITY", "STATISTICS") VALUES ('b0ce3f61-160a-4474-b136-8108be98445a', 'ee43cc3d-d71c-43f2-be0b-55da73d509c5', '{"f1": 0.8512557559815072, "recall": 0.6145404663923183, "accuracy": 0.8563333333333333, "f_measure": 0.6752072343632253, "precision": 0.7491638795986622, "area_under_pr": 0.7894282641864298, "area_under_roc": 0.9170999040203395, "weighted_recall": 0.8563333333333333, "true_positive_rate": 0.6145404663923183, "weighted_f_measure": 0.8512557559815072, "weighted_precision": 0.8504885379797771, "false_positive_rate": 0.06605019815059446, "true_negative_count": 2121, "true_positive_count": 448, "false_negative_count": 281, "false_positive_count": 150, "weighted_true_positive_rate": 0.8563333333333333, "weighted_false_positive_rate": 0.3078430650916095}', 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-- Insert Current Metrics INSERT INTO "current_dataset_metrics" ("UUID", "CURRENT_UUID", "MODEL_QUALITY", "DATA_QUALITY", "DRIFT", "STATISTICS") VALUES ('eed39eaf-46b1-4161-a670-1b9152e78c6e', '63b173f8-6150-41f5-8a6b-a1e08a3a7c12', '{"global_metrics": {"f1": 0.8514711906036294, "recall": 0.6373983739837399, "accuracy": 0.8552, "f_measure": 0.6841186736474696, "precision": 0.7382297551789078, "area_under_pr": 0.7879894114328698, "area_under_roc": 0.9084117228440152, "weighted_recall": 0.8552000000000001, "true_positive_rate": 0.6373983739837399, "weighted_f_measure": 0.8514711906036294, "weighted_precision": 0.8502099032173835, "false_positive_rate": 0.07374005305039788, "true_negative_count": 1746, "true_positive_count": 392, "false_negative_count": 223, "false_positive_count": 139, "weighted_true_positive_rate": 0.8552000000000001, "weighted_false_positive_rate": 0.29154167906665807}, "grouped_metrics": {"f1": [{"value": 0.8634920634920635, "timestamp": "2024-03-10 00:00:00"}, 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"Shucked_weight"}, {"drift_calc": {"type": "KS", "value": 0.0088653421, "has_drift": false}, "feature_name": "Viscera_weight"}, {"drift_calc": {"type": "KS", "value": 0.0130853067, "has_drift": false}, "feature_name": "Shell_weight"}]}', '{"numeric": 9, "datetime": 1, "categorical": 2, "n_variables": 12, "missing_cells": 0, "duplicate_rows": 0, "n_observations": 3759, "missing_cells_perc": 0.0, "duplicate_rows_perc": 0.0}'); \ No newline at end of file diff --git a/sdk/radicalbit_platform_sdk/models/dataset_model_quality.py b/sdk/radicalbit_platform_sdk/models/dataset_model_quality.py index 46dcff87..122e24b2 100644 --- a/sdk/radicalbit_platform_sdk/models/dataset_model_quality.py +++ b/sdk/radicalbit_platform_sdk/models/dataset_model_quality.py @@ -136,6 +136,11 @@ class Histogram(BaseModel): values: Optional[List[int]] = None +class RegressionLine(BaseModel): + coefficient: Optional[float] = None + intercept: Optional[float] = None + + class ResidualsMetrics(BaseModel): ks: KsMetrics correlation_coefficient: Optional[float] = None @@ -143,7 +148,7 @@ class ResidualsMetrics(BaseModel): standardized_residuals: List[float] predictions: List[float] targets: List[float] - regression_line: List[List[float]] + regression_line: RegressionLine model_config = ConfigDict(populate_by_name=True, alias_generator=to_camel) diff --git a/sdk/tests/apis/model_current_dataset_test.py b/sdk/tests/apis/model_current_dataset_test.py index ffefcbfe..797804d9 100644 --- a/sdk/tests/apis/model_current_dataset_test.py +++ b/sdk/tests/apis/model_current_dataset_test.py @@ -961,6 +961,8 @@ def test_regression_model_quality_ok(self): p_value = 0.2 statistic = 0.4 correlation_coefficient = 0.2 + regression_line_coefficient = 0.7957916804773302 + regression_line_intercept = 2.7608502737828453 model_current_dataset = ModelCurrentDataset( base_url, model_id, @@ -1003,7 +1005,10 @@ def test_regression_model_quality_ok(self): "standardizedResiduals": [0.02, 0.03], "targets": [1, 2.2, 3], "predictions": [1.3, 2, 4.5], - "regression_line": [[1.2, 0.3], [1.4, 2.3]] + "regression_line": {{ + "coefficient": {regression_line_coefficient}, + "intercept": {regression_line_intercept} + }} }} }}, "grouped_metrics": {{ @@ -1056,6 +1061,14 @@ def test_regression_model_quality_ok(self): ) assert metrics.global_metrics.residuals.ks.p_value == p_value assert metrics.global_metrics.residuals.ks.statistic == statistic + assert ( + metrics.global_metrics.residuals.regression_line.coefficient + == regression_line_coefficient + ) + assert ( + metrics.global_metrics.residuals.regression_line.intercept + == regression_line_intercept + ) assert metrics.grouped_metrics.r2[0].value == r2 assert metrics.grouped_metrics.mae[0].value == mae assert metrics.grouped_metrics.mse[0].value == mse diff --git a/sdk/tests/apis/model_reference_dataset_test.py b/sdk/tests/apis/model_reference_dataset_test.py index 2d459a04..d198f8b4 100644 --- a/sdk/tests/apis/model_reference_dataset_test.py +++ b/sdk/tests/apis/model_reference_dataset_test.py @@ -352,6 +352,8 @@ def test_regression_model_metrics_ok(self): p_value = 0.2 statistic = 0.4 correlation_coefficient = 0.2 + regression_line_coefficient = 0.7942363125434776 + regression_line_intercept = 2.8227418911402906 model_reference_dataset = ModelReferenceDataset( base_url, model_id, @@ -392,7 +394,10 @@ def test_regression_model_metrics_ok(self): "standardizedResiduals": [0.02, 0.03], "targets": [1, 2.2, 3], "predictions": [1.3, 2, 4.5], - "regression_line": [[1.2, 0.3], [1.4, 2.3]] + "regression_line": {{ + "coefficient": {regression_line_coefficient}, + "intercept": {regression_line_intercept} + }} }} }} }}""", @@ -411,6 +416,10 @@ def test_regression_model_metrics_ok(self): assert metrics.residuals.correlation_coefficient == correlation_coefficient assert metrics.residuals.ks.p_value == p_value assert metrics.residuals.ks.statistic == statistic + assert ( + metrics.residuals.regression_line.coefficient == regression_line_coefficient + ) + assert metrics.residuals.regression_line.intercept == regression_line_intercept assert model_reference_dataset.status() == JobStatus.SUCCEEDED @responses.activate