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76 | 76 | )
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77 | 77 |
|
78 | 78 |
|
| 79 | +_LINEAR_REGRESSION_CLASS = f"{LinearRegression.__module__}.LinearRegression" |
| 80 | + |
| 81 | + |
79 | 82 | @pytest.fixture
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80 | 83 | def mock_datetime_now(monkeypatch):
|
81 | 84 | class DateTime(datetime.datetime):
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@@ -205,7 +208,7 @@ def mock_load_tensorflow_module_model():
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205 | 208 | "frameworkName": "sklearn",
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206 | 209 | "frameworkVersion": "1.0",
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207 | 210 | "modelFile": "model.pkl",
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208 |
| - "modelClass": "sklearn.linear_model._base.LinearRegression", |
| 211 | + "modelClass": _LINEAR_REGRESSION_CLASS, |
209 | 212 | },
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210 | 213 | )
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211 | 214 |
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@@ -380,7 +383,7 @@ def test_save_model_sklearn(
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380 | 383 | "frameworkName": "sklearn",
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381 | 384 | "frameworkVersion": sklearn.__version__,
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382 | 385 | "modelFile": "model.pkl",
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383 |
| - "modelClass": "sklearn.linear_model._base.LinearRegression", |
| 386 | + "modelClass": _LINEAR_REGRESSION_CLASS, |
384 | 387 | },
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385 | 388 | state=GapicArtifact.State.LIVE,
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386 | 389 | )
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@@ -433,7 +436,7 @@ def test_save_model_with_all_args(
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433 | 436 | "frameworkName": "sklearn",
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434 | 437 | "frameworkVersion": sklearn.__version__,
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435 | 438 | "modelFile": "model.pkl",
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436 |
| - "modelClass": "sklearn.linear_model._base.LinearRegression", |
| 439 | + "modelClass": _LINEAR_REGRESSION_CLASS, |
437 | 440 | "predictSchemata": {"instanceSchemaUri": f"{_TEST_URI}/instance.yaml"},
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438 | 441 | },
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439 | 442 | state=GapicArtifact.State.LIVE,
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@@ -879,7 +882,7 @@ def test_get_experiment_model_info(self):
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879 | 882 | model_info = experiment_model.get_model_info()
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880 | 883 |
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881 | 884 | expected_model_info = {
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882 |
| - "model_class": "sklearn.linear_model._base.LinearRegression", |
| 885 | + "model_class": _LINEAR_REGRESSION_CLASS, |
883 | 886 | "framework_name": "sklearn",
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884 | 887 | "framework_version": "1.0",
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885 | 888 | "input_example": {
|
|
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