Rename logic to core

azuur · Feb 13, 2024 · e6d7d0d · e6d7d0d
1 parent 2488d92
commit e6d7d0d
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Showing 17 changed files with 13 additions and 13 deletions.
diff --git a/ml_pipelines/logic/__init__.py → ml_pipelines/core/__init__.py b/ml_pipelines/logic/__init__.py → ml_pipelines/core/__init__.py
diff --git a/ml_pipelines/logic/common/__init__.py → ml_pipelines/core/common/__init__.py b/ml_pipelines/logic/common/__init__.py → ml_pipelines/core/common/__init__.py
diff --git a/ml_pipelines/logic/common/dgp.py → ml_pipelines/core/common/dgp.py b/ml_pipelines/logic/common/dgp.py → ml_pipelines/core/common/dgp.py
diff --git a/ml_pipelines/logic/common/feature_eng.py → ml_pipelines/core/common/feature_eng.py b/ml_pipelines/logic/common/feature_eng.py → ml_pipelines/core/common/feature_eng.py
diff --git a/ml_pipelines/logic/common/model.py → ml_pipelines/core/common/model.py b/ml_pipelines/logic/common/model.py → ml_pipelines/core/common/model.py
diff --git a/ml_pipelines/logic/eval/__init__.py → ml_pipelines/core/eval/__init__.py b/ml_pipelines/logic/eval/__init__.py → ml_pipelines/core/eval/__init__.py
diff --git a/ml_pipelines/logic/eval/eval.py → ml_pipelines/core/eval/eval.py b/ml_pipelines/logic/eval/eval.py → ml_pipelines/core/eval/eval.py
diff --git a/ml_pipelines/logic/serve/__init__.py → ml_pipelines/core/serve/__init__.py b/ml_pipelines/logic/serve/__init__.py → ml_pipelines/core/serve/__init__.py
diff --git a/ml_pipelines/logic/serve/serve.py → ml_pipelines/core/serve/serve.py b/ml_pipelines/logic/serve/serve.py → ml_pipelines/core/serve/serve.py
@@ -6,11 +6,11 @@
 from pydantic import BaseModel, Field
 from sklearn.linear_model import LogisticRegression
 
-from ml_pipelines.logic.common.feature_eng import (
+from ml_pipelines.core.common.feature_eng import (
     FeatureEngineeringParams,
     transform_features,
 )
-from ml_pipelines.logic.common.model import predict
+from ml_pipelines.core.common.model import predict
 
 
 class Point(BaseModel):

diff --git a/ml_pipelines/logic/train/__init__.py → ml_pipelines/core/train/__init__.py b/ml_pipelines/logic/train/__init__.py → ml_pipelines/core/train/__init__.py
diff --git a/ml_pipelines/logic/train/train.py → ml_pipelines/core/train/train.py b/ml_pipelines/logic/train/train.py → ml_pipelines/core/train/train.py
diff --git a/ml_pipelines/deployment/aws/io.py b/ml_pipelines/deployment/aws/io.py
@@ -10,8 +10,8 @@
 from matplotlib.figure import Figure
 from sklearn.linear_model import LogisticRegression
 
-from ml_pipelines.logic.common.feature_eng import FeatureEngineeringParams
-from ml_pipelines.logic.serve.serve import Point
+from ml_pipelines.core.common.feature_eng import FeatureEngineeringParams
+from ml_pipelines.core.serve.serve import Point
 from ml_pipelines.pipeline.train_pipeline import TrainArtifacts
 
 

diff --git a/ml_pipelines/deployment/common/serve.py b/ml_pipelines/deployment/common/serve.py
@@ -3,7 +3,7 @@
 
 import uvicorn
 
-from ml_pipelines.logic.serve.serve import PredictionLoggingFunc, create_fastapi_app
+from ml_pipelines.core.serve.serve import PredictionLoggingFunc, create_fastapi_app
 from ml_pipelines.pipeline.train_pipeline import TrainArtifacts
 
 

diff --git a/ml_pipelines/deployment/local/io.py b/ml_pipelines/deployment/local/io.py
@@ -8,8 +8,8 @@
 from matplotlib.figure import Figure
 from sklearn.linear_model import LogisticRegression
 
-from ml_pipelines.logic.common.feature_eng import FeatureEngineeringParams
-from ml_pipelines.logic.serve.serve import Point
+from ml_pipelines.core.common.feature_eng import FeatureEngineeringParams
+from ml_pipelines.core.serve.serve import Point
 from ml_pipelines.pipeline.train_pipeline import TrainArtifacts
 
 

diff --git a/ml_pipelines/pipeline/data_gen_pipeline.py b/ml_pipelines/pipeline/data_gen_pipeline.py
@@ -1,4 +1,4 @@
-from ml_pipelines.logic.common.dgp import generate_raw_data
+from ml_pipelines.core.common.dgp import generate_raw_data
 
 data = generate_raw_data(10_000, 813)
 data.to_csv("raw_data.csv", index=False)
diff --git a/ml_pipelines/pipeline/eval_pipeline.py b/ml_pipelines/pipeline/eval_pipeline.py
@@ -4,12 +4,12 @@
 import pandas as pd
 from sklearn.linear_model import LogisticRegression
 
-from ml_pipelines.logic.common.feature_eng import (
+from ml_pipelines.core.common.feature_eng import (
     FeatureEngineeringParams,
     transform_features,
 )
-from ml_pipelines.logic.common.model import predict
-from ml_pipelines.logic.eval.eval import (
+from ml_pipelines.core.common.model import predict
+from ml_pipelines.core.eval.eval import (
     calculate_metrics,
     make_calibration_plot,
     make_roc_plot,

diff --git a/ml_pipelines/pipeline/train_pipeline.py b/ml_pipelines/pipeline/train_pipeline.py
@@ -4,12 +4,12 @@
 import pandas as pd
 from sklearn.linear_model import LogisticRegression
 
-from ml_pipelines.logic.common.feature_eng import (
+from ml_pipelines.core.common.feature_eng import (
     FeatureEngineeringParams,
     fit_feature_transform,
     transform_features,
 )
-from ml_pipelines.logic.train.train import split_data, train_model
+from ml_pipelines.core.train.train import split_data, train_model
 
 
 class TrainArtifacts(TypedDict):