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394790 [23, 4, 32, 14217, 49, 126, 13923, 4013, 2124, 3, 101, 167, 303, 16, 449] | |
394821 [3, 101, 5, 1420, 294, 8430, 49, 6276, 3, 101, 5, 2696] | |
394829 [27, 1550, 8739, 64, 2065, 16, 9722, 1173, 11266, 1288, 321, 60, 155, 570, 64, 3, 60, 861, 118] | |
394830 [10071, 2547, 3, 72, 73, 72, 119, 4611, 32, 6284, 441, 294, 522, 2246, 1665, 211] | |
394830 [20, 3797, 27, 67088, 4605, 55602, 503, 354, 2178, 1194, 1173, 40, 243, 155, 14973, 4016, 4900, 40, 17952, 709, 64, 27, 339, 1194, 3, 65, 20, 72] | |
394837 [125, 32, 1041, 11, 14, 3, 60, 16243, 9624, 16657, 18673, 13819, 8383, 118] | |
394854 [20, 570, 34434, 49, 39395, 1173, 20, 609, 61, 111, 101, 4107, 11657, 49, 155, 1026, 119, 3153, 3, 101, 69, 357, 9, 85614, 5, 40409] | |
394867 [20, 35, 32, 2810, 504, 106, 20, 35, 69, 163, 510, 1899, 1173, 20, 35, 155, 5073, 11, 40, 20, 35, 5073, 11, 1899, 49, 2419, 3, 1053, 65, 20, 16070] | |
394874 [60, 2555, 2554, 2552, 734, 74, 709, 293, 9, 725, 1970, 16, 1972, 3, 296, 132, 5, 5901, 732, 1970, 11, 32, 1097, 1970, 1972, 1299] | |
394880 [395, 32, 19 |
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Learning Rate: 0.01 Momentum: 0.0 Hidden Layer Size 1: 20 Hidden Layer Size 2: 20 No of Epochs: 15 Train Accuracy = 0.298333333333 Test Accuracy = 0.300666666667 Validation Accuracy = 0.284 Average Train Loss = 2.06166397036 Average Validation Loss = 2.05163102739 | |
Learning Rate: 0.01 Momentum: 0.0 Hidden Layer Size 1: 20 Hidden Layer Size 2: 20 No of Epochs: 15 Train Accuracy = 0.267333333333 Test Accuracy = 0.255 Validation Accuracy = 0.245 Average Train Loss = 2.19850297291 Average Validation Loss = 2.17210503182 | |
Learning Rate: 0.01 Momentum: 0.0 Hidden Layer Size 1: 50 Hidden Layer Size 2: 50 No of Epochs: 15 Train Accuracy = 0.318333333333 Test Accuracy = 0.312333333333 Validation Accuracy = 0.3 Average Train Loss = 2.13669646934 Average Validation Loss = 2.1145756373 | |
Learning Rate: 0.01 Momentum: 0.0 Hidden Layer Size 1: 50 Hidden Layer Size 2: 50 No of Epochs: 15 Train Accuracy = 0.308333333333 Test Accuracy = 0.310333333333 Validation Accuracy = 0.3 Average Train Loss = 2.11892128899 Average |
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2s - loss: 0.8509 - acc: 1.0000 - val_loss: 0.8009 - val_acc: 1.0000 | |
Epoch 5/100 | |
22s - loss: 0.7663 - acc: 1.0000 - val_loss: 0.7110 - val_acc: 1.0000 | |
Epoch 6/100 | |
22s - loss: 0.6771 - acc: 1.0000 - val_loss: 0.6255 - val_acc: 1.0000 | |
Epoch 7/100 | |
22s - loss: 0.6044 - acc: 1.0000 - val_loss: 0.5440 - val_acc: 1.0000 | |
Epoch 8/100 | |
22s - loss: 0.5255 - acc: 1.0000 - val_loss: 0.4690 - val_acc: 1.0000 | |
Epoch 9/100 |
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SVM - RBF (Training Split) | |
80 20 0.767857142857 - 29, 195 | |
70 30 0.797619047619 - 25, 171 | |
60 40 0.830357142857 - 23, 145 | |
50 50 0.814285714286 - 16, 124 | |
------------------------------------ | |
80 - 20 |
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So if a photon is directed through a plane with two slits in it and either slit is observed, it will not go through both slits. If it's unobserved it will, however, if it's observed after it's left the plane but before it hits its target, it will not have gone through both slits. | |
There's no point, I just think it's a good idea for a tee-shirt. | |
I think this is the place. | |
Leonard, I don't think I can do this. | |
No. We are committing genetic fraud. There's no guarantee that our sperm is going to generate high IQ offspring, think about that. I have a sister with the same basic DNA mix who hostesses at Fuddruckers. | |
I know, and I do yearn for faster downloads, but there's some poor woman is going to pin her hopes on my sperm, what if she winds up with a toddler who doesn't know if he should use an integral or a differential to solve the area under a curve. | |
I wouldn't. | |
I want to leave. | |
What's the protocol for leaving? | |
Let's try just walking out. |
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diff --git a/gnomemusic/window.py b/gnomemusic/window.py | |
index a603da7..d38133d 100644 | |
--- a/gnomemusic/window.py | |
+++ b/gnomemusic/window.py | |
@@ -19,6 +19,7 @@ class Window(Gtk.ApplicationWindow): | |
Gtk.ApplicationWindow.__init__(self, | |
application=app, | |
title=_("Music")) | |
+ self.connect('focus-in-event', self._windows_focus_cb) | |
settings = Gio.Settings('org.gnome.Music') |
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diff --git a/gnomemusic/window.py b/gnomemusic/window.py | |
index 418a0d4..2ae97d9 100644 | |
--- a/gnomemusic/window.py | |
+++ b/gnomemusic/window.py | |
@@ -30,7 +30,7 @@ class Window(Gtk.ApplicationWindow): | |
'/org/gnome/SettingsDaemon/MediaKeys', | |
'org.gnome.SettingsDaemon.MediaKeys', | |
None) | |
- self.proxy.call_sync('GrabMediaPlayerKeys', | |
+ self.call_sync_proxy = self.proxy.call_sync('GrabMediaPlayerKeys', |
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shivani@shivani:~/checkout/gnome/gnome-music$ cat new | |
diff --cc gnomemusic/view.py | |
index d2160b2,1df36d9..0000000 | |
--- a/gnomemusic/view.py | |
+++ b/gnomemusic/view.py | |
@@@ -102,7 -101,7 +102,11 @@@ class ViewContainer(Stack) | |
self._on_view_selection_changed) | |
def _get_remaining_item_count(self): | |
++<<<<<<< HEAD |
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diff --git a/gnomemusic/view.py b/gnomemusic/view.py | |
index 1239f2f..1df36d9 100644 | |
--- a/gnomemusic/view.py | |
+++ b/gnomemusic/view.py | |
@@ -57,7 +57,6 @@ class ViewContainer(Stack): | |
self.view.set_view_type(Gd.MainViewType.ICON) | |
self.view.set_model(self._model) | |
self.selection_toolbar = selection_toolbar | |
- self._get_remaining_item_count = Widgets._get_remaining_item_count | |
box = Gtk.Box(orientation=Gtk.Orientation.VERTICAL) |
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index b3dda1c..0bccd19 100644 | |
--- a/gnomemusic/view.py | |
+++ b/gnomemusic/view.py | |
@@ -65,7 +65,7 @@ class ViewContainer(Gtk.Stack): | |
else: | |
self._grid.add(box) | |
- self._loadMore = Widgets.LoadMoreButton(self._get_remaining_item_count) | |
+ self._loadMore = Widgets.LoadMoreButton(Widgets._get_remaining_item_count(self.countQuery, self._offset)) | |
box.pack_end(self._loadMore.widget, False, False, 0) |
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