| hierarchicalsoftmax/__init__.py |
(no function) |
6 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
ThresholdDotExporter.__init__ |
10 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
ThresholdDotExporter._default_nodeattrfunc |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
ThresholdDotExporter._default_edgeattrfunc |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
ThresholdDotExporter.exclude_node |
9 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
ThresholdDotExporter._DotExporter__iter_nodes |
7 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
ThresholdDotExporter._DotExporter__iter_edges |
11 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/dotexporter.py |
(no function) |
9 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
node_probabilities |
18 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
leaf_probabilities |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
greedy_predictions |
22 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
greedy_lineage_probabilities |
27 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
greedy_prediction_node_ids |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
greedy_prediction_node_ids_tensor |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
render_probabilities |
18 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/inference.py |
(no function) |
15 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/layers.py |
HierarchicalSoftmaxLayerMixin.__init__ |
4 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/layers.py |
HierarchicalSoftmaxLayerMixin.forward |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/layers.py |
(no function) |
10 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/loss.py |
focal_loss_with_smoothing |
14 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/loss.py |
HierarchicalSoftmaxLoss.__init__ |
4 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/loss.py |
HierarchicalSoftmaxLoss.forward |
23 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/loss.py |
(no function) |
9 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
target_max_depth |
4 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_accuracy |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_accuracy_depth_one |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_accuracy_depth_two |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
depth_accurate |
26 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_f1_score |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_precision |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_recall |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
greedy_accuracy_parent |
7 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
GreedyAccuracy.__init__ |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
GreedyAccuracy.__name__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
GreedyAccuracy.__call__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
HierarchicalSoftmaxTorchMetric._apply |
23 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
GreedyAccuracyTorchMetric.__init__ |
6 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
GreedyAccuracyTorchMetric.update |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
GreedyAccuracyTorchMetric.compute |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
RankAccuracyTorchMetric.__init__ |
7 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
RankAccuracyTorchMetric.update |
9 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
RankAccuracyTorchMetric.compute |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
LeafAccuracyTorchMetric.__init__ |
8 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
LeafAccuracyTorchMetric.update |
8 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
LeafAccuracyTorchMetric.compute |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/metrics.py |
(no function) |
38 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.__init__ |
12 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.__str__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.__repr__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.set_indexes |
37 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.best_index_in_softmax_layer |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.set_indexes_if_unset |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.render |
15 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.graphviz |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.svg |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode._pre_attach |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode._pre_detach |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode._post_attach |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode._post_detach |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.get_child_by_name |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.get_node_ids |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.get_node_ids_tensor |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.layer_size |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.render_equal |
9 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.pre_order_iter |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.post_order_iter |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.level_order_iter |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.level_order_group_iter |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
SoftmaxNode.zig_zag_group_iter |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/nodes.py |
(no function) |
38 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__new__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__init__ |
4 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.result |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__add__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__sub__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__mul__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__truediv__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__matmul__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__radd__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__rsub__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__rmul__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__rtruediv__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__rmatmul__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__getitem__ |
12 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.shape |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__str__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__repr__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__len__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.__iter__ |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.float |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.half |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
LazyLinearTensor.to |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/tensors.py |
(no function) |
30 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
NodeDetail.__getstate__ |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
NodeDetail.__setstate__ |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.__init__ |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.add |
8 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.set_indexes |
4 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.save |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.load |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.node |
4 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.keys_in_partition |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.keys |
1 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.truncate |
18 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.add_counts |
5 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.add_partition_counts |
6 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.render |
12 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.sunburst |
12 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.keys_to_file |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.csv |
6 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
TreeDict.pickle_tree |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
keys |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
csv |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
render |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
count |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
sunburst |
15 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
truncate |
3 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
layer_size |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
pickle_tree |
2 |
0 |
0 |
100.00% |
| hierarchicalsoftmax/treedict.py |
(no function) |
53 |
0 |
0 |
100.00% |