DOC use tilde in mod func class (#800)

Author: glemaitre

doc/datasets/index.rst

@@ -6,10 +6,10 @@ Dataset loading utilities
 
 .. currentmodule:: imblearn.datasets
 
-The ``imblearn.datasets`` package is complementing the ``sklearn.datasets``
-package. The package provides both: (i) a set of imbalanced datasets to perform
-systematic benchmark and (ii) a utility to create an imbalanced dataset from an
-original balanced dataset.
+The :mod:`imblearn.datasets` package is complementing the
+:mod:`sklearn.datasets` package. The package provides both: (i) a set of
+imbalanced datasets to perform systematic benchmark and (ii) a utility to
+create an imbalanced dataset from an original balanced dataset.
 
 .. _zenodo:
 

doc/miscellaneous.rst

@@ -69,7 +69,7 @@ will generate balanced mini-batches.
 TensorFlow generator
 ~~~~~~~~~~~~~~~~~~~~
 
-The :func:`imblearn.tensorflow.balanced_batch_generator` allow to generate
+The :func:`~imblearn.tensorflow.balanced_batch_generator` allow to generate
 balanced mini-batches using an imbalanced-learn sampler which returns indices::
 
   >>> X = X.astype(np.float32)
@@ -143,8 +143,9 @@ define a logistic regression model::
   >>> model.compile(optimizer='sgd', loss='categorical_crossentropy',
   ...               metrics=['accuracy'])
 
-:func:`imblearn.keras.balanced_batch_generator` creates a balanced mini-batches
-generator with the associated number of mini-batches which will be generated::
+:func:`~imblearn.keras.balanced_batch_generator` creates a balanced
+mini-batches generator with the associated number of mini-batches which will be
+generated::
 
   >>> from imblearn.keras import balanced_batch_generator
   >>> training_generator, steps_per_epoch = balanced_batch_generator(

examples/datasets/plot_make_imbalance.py

@@ -3,9 +3,9 @@
 Create an imbalanced dataset
 ============================
 
-An illustration of the :func:`imblearn.datasets.make_imbalance` function to
+An illustration of the :func:`~imblearn.datasets.make_imbalance` function to
 create an imbalanced dataset from a balanced dataset. We show the ability of
-:func:`imblearn.datasets.make_imbalance` of dealing with Pandas DataFrame.
+:func:`~imblearn.datasets.make_imbalance` of dealing with Pandas DataFrame.
 
 """