def api_start(project_id): # noqa: F401
"""Start training the model
"""
# get the CLI arguments
asr_kwargs = deepcopy(app.config['asr_kwargs'])
# add the machine learning model to the kwargs
# TODO@{Jonathan} validate model choice on server side
ml_model = request.form.get("machine_learning_model", None)
if ml_model:
asr_kwargs["model"] = ml_model
# write the kwargs to a file
with open(get_kwargs_path(project_id), "w") as fp:
json.dump(asr_kwargs, fp)
# start training the model
py_exe = _get_executable()
run_command = [
py_exe,
"-m", "asreview",
"web_run_model",
project_id,
"--label_method",
"prior"
]
subprocess.Popen(run_command)
response = jsonify({'success': True})
response.headers.add('Access-Control-Allow-Origin', '*')
return response
def api_start(project_id): # noqa: F401
"""Start training the model
"""
py_exe = _get_executable()
run_command = [
py_exe, "-m", "asreview", "web_run_model", project_id,
"--label_method", "prior"
]
subprocess.Popen(run_command)
response = jsonify({'success': True})
response.headers.add('Access-Control-Allow-Origin', '*')
return response
def api_start(project_id): # noqa: F401
"""Start training the model
"""
try:
# start training the model
py_exe = _get_executable()
run_command = [
py_exe, "-m", "asreview", "web_run_model", project_id,
"--label_method", "prior"
]
subprocess.Popen(run_command)
except Exception as err:
logging.error(err)
return jsonify(message="Failed to train the model."), 500
response = jsonify({'success': True})
response.headers.add('Access-Control-Allow-Origin', '*')
return response
