Remove unused imports

docs/conf.py

@@ -25,7 +25,7 @@
 author = "Luka Pečnik"
 
 # The full version, including alpha/beta/rc tags
-release = "1.1.2"
+release = "1.1.3"
 
 
 # -- General configuration ---------------------------------------------------

niaaml/__init__.py

@@ -29,4 +29,4 @@
 ]
 
 __project__ = "niaaml"
-__version__ = "1.1.2"
+__version__ = "1.1.3"

niaaml/classifiers/decision_tree.py

@@ -1,8 +1,6 @@
 from niaaml.classifiers.classifier import Classifier
-from niaaml.utilities import MinMax
 from niaaml.utilities import ParameterDefinition
 from sklearn.tree import DecisionTreeClassifier as DTC
-import numpy as np
 
 import warnings
 from sklearn.exceptions import (

niaaml/classifiers/gaussian_naive_bayes.py

@@ -1,8 +1,5 @@
 from niaaml.classifiers.classifier import Classifier
-from niaaml.utilities import MinMax
-from niaaml.utilities import ParameterDefinition
 from sklearn.naive_bayes import GaussianNB as GNB
-import numpy as np
 
 import warnings
 from sklearn.exceptions import (

niaaml/classifiers/k_neighbors.py

@@ -1,8 +1,6 @@
 from niaaml.classifiers.classifier import Classifier
-from niaaml.utilities import MinMax
 from niaaml.utilities import ParameterDefinition
 from sklearn.neighbors import KNeighborsClassifier as KNC
-import numpy as np
 
 import warnings
 from sklearn.exceptions import (

niaaml/classifiers/multi_layer_perceptron.py

@@ -1,8 +1,6 @@
 from niaaml.classifiers.classifier import Classifier
-from niaaml.utilities import MinMax
 from niaaml.utilities import ParameterDefinition
 from sklearn.neural_network import MLPClassifier
-import numpy as np
 
 import warnings
 from sklearn.exceptions import (

niaaml/classifiers/quadratic_driscriminant_analysis.py

@@ -1,8 +1,5 @@
 from niaaml.classifiers.classifier import Classifier
-from niaaml.utilities import MinMax
-from niaaml.utilities import ParameterDefinition
 from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis as QDA
-import numpy as np
 
 import warnings
 from sklearn.exceptions import (

niaaml/data/csv_data_reader.py

@@ -1,4 +1,3 @@
-import csv
 import pandas as pd
 from niaaml.data.data_reader import DataReader
 

niaaml/pipeline_component.py

@@ -1,6 +1,3 @@
-import numpy as np
-from niaaml.utilities import MinMax
-
 __all__ = ["PipelineComponent"]
 
 

niaaml/preprocessing/encoding/utility.py

@@ -1,6 +1,5 @@
 from niaaml.utilities import Factory
 import pandas as pd
-import numpy as np
 from niaaml.preprocessing.encoding.one_hot_encoder import OneHotEncoder
 
 __all__ = ["encode_categorical_features", "EncoderFactory"]

niaaml/preprocessing/feature_selection/grey_wolf_optimizer.py

@@ -3,7 +3,6 @@
 from niaaml.preprocessing.feature_selection.feature_selection_algorithm import (
     FeatureSelectionAlgorithm,
 )
-from niaaml.utilities import ParameterDefinition, MinMax
 from niaaml.preprocessing.feature_selection._feature_selection_threshold_benchmark import (
     _FeatureSelectionThresholdBenchmark,
 )

niaaml/preprocessing/feature_transform/__init__.py

@@ -19,4 +19,5 @@
     "MaxAbsScaler",
     "RobustScaler",
     "FeatureTransformAlgorithmFactory",
+    "QuantileTransformer",
 ]

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "NiaAML"
-version = "1.1.2"
+version = "1.1.3"
 description = "Python automated machine learning framework."
 license = "MIT"
 authors = ["Luka Pečnik <lukapecnik96@gmail.com>", "Iztok Fister Jr. <iztok.fister1@um.si>"]