Removing labels requirement message from example files.

gugarosa · Apr 20, 2021 · 1468b20 · 1468b20
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commit 1468b20
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diff --git a/examples/applications/knn_supervised_opf_training.py b/examples/applications/knn_supervised_opf_training.py
@@ -8,7 +8,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and testing sets

diff --git a/examples/applications/semi_supervised_opf_training.py b/examples/applications/semi_supervised_opf_training.py
@@ -8,7 +8,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and testing sets

diff --git a/examples/applications/supervised_opf_agglomerative.py b/examples/applications/supervised_opf_agglomerative.py
@@ -10,7 +10,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and validation sets

diff --git a/examples/applications/supervised_opf_learning.py b/examples/applications/supervised_opf_learning.py
@@ -7,7 +7,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and validation sets

diff --git a/examples/applications/supervised_opf_pre_computed_distances.py b/examples/applications/supervised_opf_pre_computed_distances.py
@@ -8,7 +8,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Pre-computing the distances

diff --git a/examples/applications/supervised_opf_pruning.py b/examples/applications/supervised_opf_pruning.py
@@ -7,7 +7,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and validation sets

diff --git a/examples/applications/supervised_opf_training.py b/examples/applications/supervised_opf_training.py
@@ -8,7 +8,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and testing sets

diff --git a/examples/applications/unsupervised_opf_clustering.py b/examples/applications/unsupervised_opf_clustering.py
@@ -8,7 +8,6 @@
 txt = l.load_txt('data/boat.txt')
 
 # Parsing a pre-loaded numpy array
-# Note that OPFython uses labels within [1, n]
 X, Y = p.parse_loader(txt)
 
 # Splitting data into training and testing sets