Update examples requirements

examples/frameworks/autokeras/requirements.txt

@@ -1,3 +1,2 @@
 autokeras
 tensorflow==2.1.0
-trains

examples/frameworks/keras/requirements.txt

@@ -1,3 +1,2 @@
 Keras
 tensorflow>=2.0
-trains

examples/frameworks/matplotlib/requirements.txt

@@ -1,4 +1,3 @@
 matplotlib >= 3.1.1 ; python_version >= '3.6'
 matplotlib >= 2.2.4 ; python_version < '3.6'
 seaborn
-trains

examples/frameworks/pytorch/requirements.txt

@@ -1,6 +1,5 @@
 matplotlib
-# tensorboardX
+tensorboardX
 tensorboard>=1.14.0
 torch>=1.1.0
-torchvision>=0.3.0
-trains
+torchvision>=0.3.0

examples/frameworks/scikit-learn/requirements.txt

@@ -1,3 +1,4 @@
 joblib>=0.13.2
-scikit-learn
-trains
+matplotlib >= 3.1.1 ; python_version >= '3.6'
+matplotlib >= 2.2.4 ; python_version < '3.6'
+scikit-learn

examples/frameworks/tensorboardx/requirements.txt

@@ -1,4 +1,3 @@
 tensorboardX>=1.8
 torch>=1.1.0
 torchvision>=0.3.0
-trains

examples/frameworks/tensorflow/legacy/requirements.txt

@@ -1,3 +1,2 @@
-trains
 tensorboard>=1.14.0
 tensorflow>=1.14.0

examples/frameworks/tensorflow/requirements.txt

@@ -1,3 +1,2 @@
 tensorboard>=2.0
 tensorflow>=2.0
-trains

examples/frameworks/xgboost/requirements.txt

@@ -1,5 +1,6 @@
+matplotlib >= 3.1.1 ; python_version >= '3.6'
+matplotlib >= 2.2.4 ; python_version < '3.6'
 sklearn
-trains
 xgboost>=0.90 ; python_version >= '3'
 xgboost>=0.82 ; python_version < '3'
 # sudo apt-get install graphviz

examples/reporting/requirements.txt

@@ -1,6 +1,5 @@
 absl-py>=0.7.1
-bokeh>=2.1.0
+bokeh
 numpy
 pandas
 pillow>=4.0
-trains