async def accuracy(self, sources: Sources) -> Accuracy:
"""
Evaluates the accuracy of our model after training using the input repos
as test data.
"""
if not os.path.isdir(self.model_dir_path):
raise ModelNotTrained("Train model before assessing for accuracy.")
input_fn = await self.accuracy_input_fn(sources)
accuracy_score = self.model.evaluate(input_fn=input_fn)
return Accuracy(accuracy_score["accuracy"])
async def accuracy(self, sources: Sources) -> Accuracy:
"""
Evaluates the accuracy of our model after training using the input repos
as test data.
"""
if not os.path.isdir(self.model_dir_path):
raise NotADirectoryError("Model not trained")
input_fn = await self.evaluate_input_fn(
sources, batch_size=20, shuffle=False, epochs=1
)
metrics = self.model.evaluate(input_fn=input_fn)
return Accuracy(1 - metrics["loss"]) # 1 - mse
async def accuracy(self, sources: Sources, features: Features,
classifications: List[Any]) -> Accuracy:
'''
Evaluates the accuracy of our model after training using the input repos
as test data.
'''
if not os.path.isdir(self.model_dir_path(features)):
raise NotADirectoryError('Model not trained')
input_fn = await self.accuracy_input_fn(sources, features,
classifications,
batch_size=20, shuffle=False, num_epochs=1)
accuracy_score = (await self.model(features, classifications))\
.evaluate(input_fn=input_fn)
return Accuracy(accuracy_score['accuracy'])
async def accuracy(self, sources: Sources) -> Accuracy:
if self.regression_line is None:
raise ModelNotTrained("Train model before assessing for accuracy.")
accuracy_value = self.regression_line[2]
return Accuracy(accuracy_value)
async def accuracy(self, sources: Sources) -> Accuracy:
if self.regression_line is None:
raise ValueError("Model Not Trained")
accuracy_value = self.regression_line[2]
return Accuracy(accuracy_value)
async def accuracy(self, sources: Sources) -> Accuracy:
accuracy: int = 0
async for repo in sources.repos():
accuracy += int(repo.key)
return Accuracy(accuracy)
def test_str(self):
self.assertEqual(str(Accuracy(0.04242)), "4.24")