def _dump_metadata(self):
display.display(display.Link(
'https://console.cloud.google.com/mlengine/models/{}/versions/{}?project={}'.format(
self._model_id, self._version_id, self._project_id),
'Version Details'
))
display.display(display.Markdown('''
## Online Prediction
### REST endpoint
The REST endpoint for online prediction is as follows:
```
POST https://ml.googleapis.com/v1/{}:predict
```
Try the REST endpoint in [Google OAuth 2.0 Playgound](https://developers.google.com/oauthplayground/#step3\
&apisSelect=https://www.googleapis.com/auth/cloud-platform&postData={{"instances":[]}}\
&url=https://ml.googleapis.com/v1/{}:predict&content_type=application/json&http_method=POST).
### GCloud command
```bash
gcloud ml-engine predict --model {} \
--version {} \
--json-instances instances.json
```
'''.format(self._version_name, self._version_name, self._model_id, self._version_id)))
def test_display_markdown(self, mock_open, mock_os, mock_json):
mock_os.path.isfile.return_value = False
display.display(display.Markdown('# test'))
mock_json.dump.assert_called_with(
{
'outputs': [{
'type': 'markdown',
'source': '# test',
'storage': 'inline'
}]
}, mock.ANY)
def test_display_markdown_append(self, mock_open, mock_os, mock_json):
mock_os.path.isfile.return_value = True
mock_json.load.return_value = {
'outputs': [{
'type': 'markdown',
'source': '# test 1',
'storage': 'inline'
}]
}
display.display(display.Markdown('# test 2'))
mock_json.dump.assert_called_with(
{
'outputs': [{
'type': 'markdown',
'source': '# test 1',
'storage': 'inline'
}, {
'type': 'markdown',
'source': '# test 2',
'storage': 'inline'
}]
}, mock.ANY)
def test___repr__(self, mock_open, mock_os, mock_json):
self.assertEqual('# Title', str(display.Markdown('# Title')))
self.assertEqual('Open Tensorboard at: gs://trained/model/',
str(display.Tensorboard('gs://trained/model/')))
self.assertEqual('title: https://test/uri',
str(display.Link('https://test/uri', 'title')))
