🐛 make all imports explicit

src/njab/__init__.py

@@ -6,7 +6,7 @@
 """
 from importlib.metadata import version
 
-from . import stats, sklearn, plotting, pandas, io
+from njab import stats, sklearn, plotting, pandas, io
 
 __version__ = version('njab')
 

src/njab/sklearn/__init__.py

@@ -8,13 +8,13 @@
 import pandas as pd
 import sklearn
 import sklearn.model_selection
-
 from mrmr import mrmr_classif
 
-from .types import Splits, ResultsSplit, Results, AucRocCurve, PrecisionRecallCurve
-from .pca import run_pca
-from .preprocessing import StandardScaler
-from . import scoring
+from njab.sklearn import scoring
+from njab.sklearn.pca import run_pca
+from njab.sklearn.preprocessing import StandardScaler
+from njab.sklearn.types import (AucRocCurve, PrecisionRecallCurve, Results,
+                                ResultsSplit, Splits)
 
 __all__ = [
     'run_model',

src/njab/sklearn/scoring.py

@@ -1,8 +1,8 @@
+import numpy as np
 import pandas as pd
 import sklearn.metrics as sklm
-import numpy as np
 
-from .types import Results
+from njab.sklearn.types import Results
 
 
 class ConfusionMatrix():

src/njab/stats/__init__.py

@@ -4,7 +4,7 @@
 and differential analysis of continuous variables between groups
 using t-tests.
 """
-from . import ancova
-from .groups_comparision import diff_analysis, binomtest
+from njab.stats import ancova
+from njab.stats.groups_comparision import binomtest, diff_analysis
 
 __all__ = ['ancova', 'diff_analysis', 'binomtest']