def exists(self, params=None):
try:
return self.transport.perform_request('HEAD',
_make_path('jobs', self.id),
params=params)
except TransportError:
return False
def delete(self, model_name, params=None):
if model_name in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'model_name'.")
return self.transport.perform_request('DELETE',
_make_path('models', model_name),
params=params)
def read(self, bucket_name, params=None):
response = self.transport.perform_request('POST',
_make_path(
'buckets', bucket_name,
'_read'),
params=params)
return response
def cancel_job(self, job_name, params=None):
if job_name in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'job_name'.")
return self.transport.perform_request('POST',
_make_path(
'jobs', job_name, '_cancel'),
params=params)
def stop_inference(self, model_names, params=None):
if model_names in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'model_names'.")
return self.transport.perform_request('POST',
_make_path(
'models', model_names,
'_stop'),
params=params)
def clear(self, bucket_name, params=None):
if bucket_name in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'bucket_name'.")
return self.transport.perform_request('POST',
_make_path(
'buckets', bucket_name,
'_clear'),
params=params)
def exists(self, job_name, params=None):
if job_name in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'job_name'.")
try:
return self.transport.perform_request('HEAD',
_make_path('jobs', job_name),
params=params)
except TransportError:
return False
def exists(self, model_name, version_name, params=None):
for param in (model_name, version_name):
if param in SKIP_IN_PATH:
raise ValueError("Empty value passed for a required argument.")
try:
return self.transport.perform_request(
'HEAD',
_make_path('models', model_name, 'versions', version_name),
params=params)
except TransportError:
return False
def write(self, bucket_name, points, batch_size, **kwargs):
params = kwargs
for batch in [
points[i:i + batch_size]
for i in range(0, len(points), batch_size)
]:
response = self.transport.perform_request(
'POST',
_make_path('buckets', bucket_name, '_write'),
params=params,
body=batch)
yield response
def forecast(self, model_name, params=None):
if model_name in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'model_name'.")
if not params:
params = {'bg': True}
elif 'bg' not in params:
params['bg'] = True
response = self.transport.perform_request('POST',
_make_path(
'models', model_name,
'_forecast'),
params=params)
return response
def train(self, model_name, params=None):
if model_name in SKIP_IN_PATH:
raise ValueError(
"Empty value passed for a required argument 'model_name'.")
if not params:
params = {'max_evals': 10}
elif 'max_evals' not in params:
params['max_evals'] = 10
response = self.transport.perform_request('POST',
_make_path(
'models', model_name,
'_train'),
params=params)
return response
def get(self, scheduled_job_names=None, params=None):
return self.transport.perform_request('GET',
_make_path(
'scheduled_jobs',
scheduled_job_names),
params=params)
def get(self, model_names=None, params=None):
return self.transport.perform_request('GET',
_make_path(
'models', model_names),
params=params)
def get(self, bucket_names=None, params=None):
return self.transport.perform_request('GET',
_make_path(
'buckets', bucket_names),
params=params)
def cancel(self, params=None):
return self.transport.perform_request('POST',
_make_path(
'jobs', self.id, '_cancel'),
params=params)
def get(self, params=None):
return self.transport.perform_request('GET',
_make_path('jobs', self.id),
params=params)
def get(
self, template_names=None, params=None
):
return self.transport.perform_request('GET', _make_path(
'templates', template_names), params=params)
