Remove relative imports

packtml/clustering/__init__.py

@@ -1,5 +1,5 @@
 # -*- coding: utf-8 -*-
 
-from .knn import *
+from packtml.clustering.knn import *
 
 __all__ = [s for s in dir() if not s.startswith("_")]

packtml/clustering/knn.py

@@ -15,7 +15,7 @@ from sklearn.utils.multiclass import check_classification_targets
 from scipy.stats import mode
 import numpy as np
 
-from ..base import BaseSimpleEstimator
+from packtml.base import BaseSimpleEstimator
 
 __all__ = [
     'KNNClassifier'

packtml/decision_tree/__init__.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-from .cart import *
-from .metrics import *
+from packtml.decision_tree.cart import *
+from packtml.decision_tree.metrics import *
 
 __all__ = [s for s in dir() if not s.startswith("_")]

packtml/decision_tree/cart.py

@@ -22,8 +22,8 @@ from sklearn.base import ClassifierMixin, RegressorMixin, is_classifier
 
 import numpy as np
 
-from ..base import BaseSimpleEstimator
-from .metrics import InformationGain, VarianceReduction
+from packtml.base import BaseSimpleEstimator
+from packtml.decision_tree.metrics import InformationGain, VarianceReduction
 
 __all__ = [
     'CARTRegressor',

packtml/neural_net/__init__.py

@@ -1,6 +1,6 @@
 # -*- coding: utf-8 -*-
 
-from .mlp import *
-from .transfer import *
+from packtml.neural_net.mlp import *
+from packtml.neural_net.transfer import *
 
 __all__ = [s for s in dir() if not s.startswith("_")]

packtml/neural_net/mlp.py

@@ -14,8 +14,8 @@ from sklearn.utils.multiclass import check_classification_targets
 
 import numpy as np
 
-from ..base import BaseSimpleEstimator
-from .base import NeuralMixin, tanh
+from packtml.base import BaseSimpleEstimator
+from packtml.neural_net.base import NeuralMixin, tanh
 
 __all__ = [
     'NeuralNetClassifier'

packtml/neural_net/transfer.py

@@ -11,9 +11,9 @@ from __future__ import absolute_import
 
 import numpy as np
 
-from .base import NeuralMixin, tanh
-from ..base import BaseSimpleEstimator
-from .mlp import NeuralNetClassifier, _calculate_loss
+from packtml.neural_net.base import NeuralMixin, tanh
+from packtml.base import BaseSimpleEstimator
+from packtml.neural_net.mlp import NeuralNetClassifier, _calculate_loss
 
 __all__ = [
     'TransferLearningClassifier'

packtml/recommendation/__init__.py

@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 
-from .als import *
-from .data import *
-from .itemitem import *
+from packtml.recommendation.als import *
+from packtml.recommendation.data import *
+from packtml.recommendation.itemitem import *
 
 __all__ = [s for s in dir() if not s.startswith("_")]

packtml/recommendation/als.py

@@ -7,8 +7,8 @@ from sklearn.utils.validation import check_random_state, check_array
 from numpy.linalg import solve
 import numpy as np
 
-from .base import RecommenderMixin
-from ..base import BaseSimpleEstimator
+from packtml.recommendation.base import RecommenderMixin
+from packtml.base import BaseSimpleEstimator
 
 __all__ = [
     'ALS'

packtml/recommendation/itemitem.py

@@ -7,8 +7,8 @@ from sklearn.metrics.pairwise import cosine_similarity
 
 import numpy as np
 
-from .base import RecommenderMixin
-from ..base import BaseSimpleEstimator
+from packtml.recommendation.base import RecommenderMixin
+from packtml.base import BaseSimpleEstimator
 
 __all__ = [
     'ItemItemRecommender'

packtml/regression/__init__.py

@@ -1,7 +1,7 @@
 # -*- coding: utf-8 -*-
 
-from .simple_regression import *
-from .simple_logistic import *
+from packtml.regression.simple_regression import *
+from packtml.regression.simple_logistic import *
 
 __all__ = [s for s in dir() if not s.startswith("_")]
 

packtml/regression/simple_logistic.py

@@ -6,9 +6,9 @@ from sklearn.utils.validation import check_X_y, check_array
 
 import numpy as np
 
-from ..utils.extmath import log_likelihood, logistic_sigmoid
-from ..utils.validation import assert_is_binary
-from ..base import BaseSimpleEstimator
+from packtml.utils.extmath import log_likelihood, logistic_sigmoid
+from packtml.utils.validation import assert_is_binary
+from packtml.base import BaseSimpleEstimator
 
 __all__ = [
     'SimpleLogisticRegression'

packtml/regression/simple_regression.py

@@ -7,7 +7,7 @@ from sklearn.utils.validation import check_X_y, check_array
 import numpy as np
 from numpy.linalg import lstsq
 
-from ..base import BaseSimpleEstimator
+from packtml.base import BaseSimpleEstimator
 
 
 __all__ = [

packtml/utils/__init__.py

@@ -1,8 +1,8 @@
 # -*- coding: utf-8 -*-
 
-from .extmath import *
-from .linalg import *
-from .plotting import *
-from .validation import *
+from packtml.utils.extmath import *
+from packtml.utils.linalg import *
+from packtml.utils.plotting import *
+from packtml.utils.validation import *
 
 __all__ = [s for s in dir() if not s.startswith("_")]

packtml/utils/plotting.py

@@ -5,7 +5,7 @@ from __future__ import absolute_import
 from matplotlib.colors import ListedColormap
 from matplotlib import pyplot as plt
 
-from .validation import learning_curve
+from packtml.utils.validation import learning_curve
 
 import numpy as np