Rename project to ml_tools

setup.py

@@ -1,9 +1,9 @@
 from setuptools import setup, find_packages
 import os
 
-NAME = 'ml_utils'
+NAME = 'ml_tooling'
 DESCRIPTION = 'A library for machine learning utilities'
-URL = 'https://lspgitlab01.alm.brand.dk/abanbn/ab_models'
+URL = 'https://github.com/andersbogsnes/ml_utils'
 EMAIL = 'abanbn@almbrand.dk'
 AUTHOR = 'Anders Bogsnes'
 REQUIRES_PYTHON = '>=3.6.0'

tests/conftest.py

@@ -5,7 +5,7 @@
 import pandas as pd
 import numpy as np
 from sklearn.linear_model import LinearRegression, LogisticRegression
-from ml_utils import BaseClassModel
+from ml_tooling import BaseClassModel
 from sklearn.datasets import load_iris
 
 

tests/test_baseclass.py

@@ -3,9 +3,9 @@
 from sklearn.ensemble import RandomForestClassifier
 from sklearn.linear_model import LinearRegression, LogisticRegression
 
-from ml_utils import BaseClassModel
-from ml_utils.baseclass.result import Result
-from ml_utils.baseclass.utils import MLUtilsError
+from ml_tooling import BaseClassModel
+from ml_tooling.baseclass.result import Result
+from ml_tooling.baseclass.utils import MLUtilsError
 
 
 def test_can_change_config():
@@ -109,7 +109,7 @@ def test_regression_model_can_be_saved(classifier, tmpdir, base, monkeypatch):
     def mockreturn():
         return '1234'
 
-    monkeypatch.setattr('ml_utils.baseclass.baseclass.get_git_hash', mockreturn)
+    monkeypatch.setattr('ml_tooling.baseclass.baseclass.get_git_hash', mockreturn)
     path = tmpdir.mkdir('model')
     classifier.score_model()
     classifier.save_model(path)
@@ -124,7 +124,7 @@ def test_save_model_saves_correctly(classifier, tmpdir, monkeypatch):
     def mockreturn():
         return '1234'
 
-    monkeypatch.setattr('ml_utils.baseclass.baseclass.get_git_hash', mockreturn)
+    monkeypatch.setattr('ml_tooling.baseclass.baseclass.get_git_hash', mockreturn)
     save_dir = tmpdir.mkdir('model')
     classifier.save_model(save_dir)
     expected_name = 'IrisModel_LogisticRegression_1234.pkl'

tests/test_helper.py

@@ -2,7 +2,7 @@
 Test file for helpers.py
 """
 import matplotlib.pyplot as plt
-from ml_utils.visualizations.helpers import generate_text_labels
+from ml_tooling.visualizations.helpers import generate_text_labels
 
 
 def test_add_text_labels_vertical_returns_correct():

tests/test_metrics.py

@@ -1,7 +1,7 @@
 import numpy as np
 import pytest
-from ml_utils.metrics import lift_score, confusion_matrix, sorted_feature_importance
-from ml_utils.metrics.metrics import MetricError
+from ml_tooling.metrics import lift_score, confusion_matrix, sorted_feature_importance
+from ml_tooling.metrics.metrics import MetricError
 
 
 # noinspection PyTypeChecker

tests/test_transformers.py

@@ -3,16 +3,16 @@
 import numpy as np
 from sklearn.pipeline import make_pipeline
 
-from ml_utils.transformers import (Select,
-                                   FillNA,
-                                   ToCategorical,
-                                   FuncTransformer,
-                                   Binner,
-                                   Renamer,
-                                   DateEncoder,
-                                   FreqFeature, DFFeatureUnion)
-
-from ml_utils.transformers.pandas_transformers import TransformerError
+from ml_tooling.transformers import (Select,
+                                     FillNA,
+                                     ToCategorical,
+                                     FuncTransformer,
+                                     Binner,
+                                     Renamer,
+                                     DateEncoder,
+                                     FreqFeature, DFFeatureUnion)
+
+from ml_tooling.transformers.pandas_transformers import TransformerError
 
 np.random.seed(42)
 

tests/test_utils.py

@@ -1,4 +1,4 @@
-from ml_utils.baseclass.utils import get_git_hash, find_model_file
+from ml_tooling.baseclass.utils import get_git_hash, find_model_file
 
 
 def test_get_git_hash_returns_correctly():
@@ -11,7 +11,7 @@ def test_find_model_file_with_given_model_returns_correctly(tmpdir, monkeypatch)
     def mockreturn():
         return '1234'
 
-    monkeypatch.setattr('ml_utils.baseclass.utils.get_git_hash', mockreturn)
+    monkeypatch.setattr('ml_tooling.baseclass.utils.get_git_hash', mockreturn)
 
     model_folder = tmpdir.mkdir('model')
     model1 = 'TestModel1_1234.pkl'
@@ -31,7 +31,7 @@ def test_find_model_file_if_multiple_with_same_hash(tmpdir, monkeypatch):
     def mockreturn():
         return '1234'
 
-    monkeypatch.setattr('ml_utils.baseclass.utils.get_git_hash', mockreturn)
+    monkeypatch.setattr('ml_tooling.baseclass.utils.get_git_hash', mockreturn)
 
     model_folder = tmpdir.mkdir('model')
     model1 = 'TestModel1_1234.pkl'

tests/test_visualize.py

@@ -9,12 +9,12 @@
 from sklearn.linear_model import LogisticRegression
 from sklearn.metrics import roc_curve
 
-from ml_utils.visualizations import plot_lift_curve
-from ml_utils.visualizations.visualizations import (RegressionVisualize,
-                                                    ClassificationVisualize,
-                                                    plot_confusion_matrix)
-from ml_utils.visualizations.helpers import (VizError,
-                                             get_feature_importance)
+from ml_tooling.visualizations import plot_lift_curve
+from ml_tooling.visualizations.visualizations import (RegressionVisualize,
+                                                      ClassificationVisualize,
+                                                      plot_confusion_matrix)
+from ml_tooling.visualizations.helpers import (VizError,
+                                               get_feature_importance)
 from sklearn.svm import SVC
 
 np.random.seed(42)

tox.ini

@@ -19,7 +19,7 @@ omit = */__init__.py
 branch = True
 
 [coverage:paths]
-source = ml_utils
+source = ml_tooling
 
 [pytest]
-addopts = -p no:warnings -v  --cov ml_utils --cov-report html --cov-report term
+addopts = -p no:warnings -v  --cov ml_tooling --cov-report html --cov-report term