def test(self, req_vars):
prefix_stream = DataStream(self.test_dataset,
iteration_scheme=SequentialExampleScheme(
self.test_dataset.num_examples))
prefix_stream = transformers.taxi_add_datetime(prefix_stream)
if not data.tvt:
prefix_stream = transformers.taxi_remove_test_only_clients(
prefix_stream)
prefix_stream = Batch(prefix_stream,
iteration_scheme=ConstantScheme(
self.config.batch_size))
prefix_stream = Padding(prefix_stream,
mask_sources=['latitude', 'longitude'])
candidate_stream = self.candidate_stream(
self.config.test_candidate_size, False)
sources = prefix_stream.sources + tuple(
'candidate_%s' % k for k in candidate_stream.sources)
stream = Merge((prefix_stream, candidate_stream), sources)
stream = transformers.Select(stream, tuple(req_vars))
# stream = MultiProcessing(stream)
return stream
def test(self, req_vars):
prefix_stream = DataStream(self.test_dataset,
iteration_scheme=SequentialExampleScheme(
self.test_dataset.num_examples))
prefix_stream = transformers.taxi_add_datetime(prefix_stream)
prefix_stream = transformers.taxi_add_first_last_len(
prefix_stream, self.config.n_begin_end_pts)
if not data.tvt:
prefix_stream = transformers.taxi_remove_test_only_clients(
prefix_stream)
prefix_stream = Batch(prefix_stream,
iteration_scheme=ConstantScheme(
self.config.batch_size))
candidate_stream = self.candidate_stream(
self.config.test_candidate_size)
sources = prefix_stream.sources + tuple(
'candidate_%s' % k for k in candidate_stream.sources)
stream = Merge((prefix_stream, candidate_stream), sources)
stream = transformers.Select(stream, tuple(req_vars))
stream = MultiProcessing(stream)
return stream
def test(self, req_vars):
stream = TaxiStream('test')
stream = transformers.taxi_add_datetime(stream)
stream = transformers.taxi_add_first_last_len(stream, self.config.n_begin_end_pts)
stream = transformers.taxi_remove_test_only_clients(stream)
return Batch(stream, iteration_scheme=ConstantScheme(1))
def test(self, req_vars):
stream = TaxiStream('test')
stream = transformers.taxi_add_datetime(stream)
# stream = transformers.taxi_add_first_last_len(stream, self.config.n_begin_end_pts)
stream = transformers.taxi_remove_test_only_clients(stream)
return Batch(stream, iteration_scheme=ConstantScheme(1))
def test(self, req_vars):
stream = TaxiStream('test')
stream = transformers.taxi_add_datetime(stream)
stream = transformers.taxi_remove_test_only_clients(stream)
stream = transformers.Select(stream, tuple(v for v in req_vars if not v.endswith('_mask')))
stream = Batch(stream, iteration_scheme=ConstantScheme(1))
stream = Padding(stream, mask_sources=['latitude', 'longitude'])
stream = transformers.Select(stream, req_vars)
return stream
def test(self, req_vars):
stream = TaxiStream('test')
stream = transformers.taxi_add_datetime(stream)
stream = transformers.taxi_remove_test_only_clients(stream)
stream = transformers.Select(
stream, tuple(v for v in req_vars if not v.endswith('_mask')))
stream = Batch(stream, iteration_scheme=ConstantScheme(1))
stream = Padding(stream, mask_sources=['latitude', 'longitude'])
stream = transformers.Select(stream, req_vars)
return stream
def test(self, req_vars):
prefix_stream = DataStream(
self.test_dataset,
iteration_scheme=SequentialExampleScheme(self.test_dataset.num_examples))
prefix_stream = transformers.taxi_add_datetime(prefix_stream)
prefix_stream = transformers.taxi_add_first_last_len(prefix_stream,
self.config.n_begin_end_pts)
if not data.tvt:
prefix_stream = transformers.taxi_remove_test_only_clients(prefix_stream)
prefix_stream = Batch(prefix_stream,
iteration_scheme=ConstantScheme(self.config.batch_size))
candidate_stream = self.candidate_stream(self.config.test_candidate_size)
sources = prefix_stream.sources + tuple('candidate_%s' % k for k in candidate_stream.sources)
stream = Merge((prefix_stream, candidate_stream), sources)
stream = transformers.Select(stream, tuple(req_vars))
stream = MultiProcessing(stream)
return stream
def test(self, req_vars):
prefix_stream = DataStream(
self.test_dataset,
iteration_scheme=SequentialExampleScheme(self.test_dataset.num_examples))
prefix_stream = transformers.taxi_add_datetime(prefix_stream)
if not data.tvt:
prefix_stream = transformers.taxi_remove_test_only_clients(prefix_stream)
prefix_stream = Batch(prefix_stream,
iteration_scheme=ConstantScheme(self.config.batch_size))
prefix_stream = Padding(prefix_stream, mask_sources=['latitude', 'longitude'])
candidate_stream = self.candidate_stream(self.config.test_candidate_size, False)
sources = prefix_stream.sources + tuple('candidate_%s' % k for k in candidate_stream.sources)
stream = Merge((prefix_stream, candidate_stream), sources)
stream = transformers.Select(stream, tuple(req_vars))
# stream = MultiProcessing(stream)
return stream
